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- Title
- AN EXPERIMENTAL APPROACH TO EVALUATE THE EFFECTIVENESS AND PERFORMANCE OF CHLORINE AS A DISINFECTANT FOR ENTAMOEBA DISPAR IN GROUNDWATER.
- Creator
- Chowdhury. Rakib Ahmed, Lashaki, Masoud Jahandar, Meeroff, Daniel E., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
- Abstract/Description
-
Deep injection well technology is a reliable and cost-effective technique to manage hazardous wastewater. However, reduced injectivity is an issue for the performance of an injection well which can happen due to the occurrence of biogeochemical clogging. A class 1 deep injection well located at the Solid Waste Authority of Palm Beach County has long suffered similar problems that occurred due to the formation of chemical precipitation and biofilm. In the case of the biofilm, the dominant...
Show moreDeep injection well technology is a reliable and cost-effective technique to manage hazardous wastewater. However, reduced injectivity is an issue for the performance of an injection well which can happen due to the occurrence of biogeochemical clogging. A class 1 deep injection well located at the Solid Waste Authority of Palm Beach County has long suffered similar problems that occurred due to the formation of chemical precipitation and biofilm. In the case of the biofilm, the dominant microorganism detected in previous work was determined to be Entamoeba dispar. The prime source of the protozoan was identified as the local groundwater, which is employed for different purposes within the solid waste facility, such as cooling water and dilution water. Therefore, it is imperative to examine the effectiveness of the commonly used disinfectant chlorine to inactivate the protozoan to eliminate biofilms and clogging. This study conducted a laboratory-based chlorination of the groundwater sample to reveal the required dosages of chlorine needed for 3.0-log inactivation of E. dispar in various temperature (20°C, 25°C, 30°C, and 35°C) and pH (6.5, 7.0, 7.5) conditions.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014439
- Subject Headings
- Groundwater, Entamoeba dispar, Chlorine, Injection wells
- Format
- Document (PDF)
- Title
- FACILITATING PEER-TO-PEER ENERGY TRADING THROUGH COOPERATIVE GAMES AND FUZZY INFERENCE SYSTEMS.
- Creator
- Lopez, Hector, Zilouchian, Ali, Abtahi, Amir, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
This dissertation proposes a utility-centric peer-to-peer (P2P) energy trading framework as an alternative to traditional net metering, aiming to resolve conflicts between distributed energy resource owners and utilities. It advocates for practical software services and dynamic payment mechanisms tailored to prosumer needs, offering an alternative to reducing net metering incentives. Additionally, it explores game theory principles to ensure equitable compensation for prosumer cooperation,...
Show moreThis dissertation proposes a utility-centric peer-to-peer (P2P) energy trading framework as an alternative to traditional net metering, aiming to resolve conflicts between distributed energy resource owners and utilities. It advocates for practical software services and dynamic payment mechanisms tailored to prosumer needs, offering an alternative to reducing net metering incentives. Additionally, it explores game theory principles to ensure equitable compensation for prosumer cooperation, driving the adoption of P2P energy markets. It also builds on demand-side payment mechanisms like NRG-X-Change by adapting it to provide fair payment distribution to prosumer coalitions. The interoperable energy storage systems with P2P trading also presented battery chemistry detection using neural network models. A fuzzy inference system is also designed to facilitate prosumers' choice in participating in P2P markets, providing flexibility for energy trading preferences. The simulation results demonstrated the effectiveness of the proposed design schemes.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014425
- Subject Headings
- Energy, Fuzzy systems, Cooperative game theory, Electrical engineering
- Format
- Document (PDF)
- Title
- FRAUD DETECTION IN HIGHLY IMBALANCED BIG DATA WITH NOVEL AND EFFICIENT DATA REDUCTION TECHNIQUES.
- Creator
- Hancock III, John T., Taghi M. Khoshgoftaar, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
The rapid growth of digital transactions and the increasing sophistication of fraudulent activities have necessitated the development of robust and efficient fraud detection techniques, particularly in the financial and healthcare sectors. This dissertation focuses on the use of novel data reduction techniques for addressing the unique challenges associated with detecting fraud in highly imbalanced Big Data, with a specific emphasis on credit card transactions and Medicare claims. The highly...
Show moreThe rapid growth of digital transactions and the increasing sophistication of fraudulent activities have necessitated the development of robust and efficient fraud detection techniques, particularly in the financial and healthcare sectors. This dissertation focuses on the use of novel data reduction techniques for addressing the unique challenges associated with detecting fraud in highly imbalanced Big Data, with a specific emphasis on credit card transactions and Medicare claims. The highly imbalanced nature of these datasets, where fraudulent instances constitute less than one percent of the data, poses significant challenges for traditional machine learning algorithms. This dissertation explores novel data reduction techniques tailored for fraud detection in highly imbalanced Big Data. The primary objectives include developing efficient data preprocessing and feature selection methods to reduce data dimensionality while preserving the most informative features, investigating various machine learning algorithms for their effectiveness in handling imbalanced data, and evaluating the proposed techniques on real-world credit card and Medicare fraud datasets. This dissertation covers a comprehensive examination of datasets, learners, experimental methodology, sampling techniques, feature selection techniques, and hybrid techniques. Key contributions include the analysis of performance metrics in the context of newly available Big Medicare Data, experiments using Big Medicare data, application of a novel ensemble supervised feature selection technique, and the combined application of data sampling and feature selection. The research demonstrates that, across both domains, the combined application of random undersampling and ensemble feature selection significantly improves classification performance.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014424
- Subject Headings
- Fraud, Big data, Data reduction, Credit card fraud, Medicare fraud
- Format
- Document (PDF)
- Title
- UNDERLYING OF BEING.
- Creator
- MacNamara, Lisa V., Cote, Veronique, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
-
The Underlying of Being exhibition explores the complex relationship between the mind and body, delving into psychological effects at a cellular level. Art, science, and psychology contemplate the fundamental source of meaning and value: the human experience. The work emphasizes that our lives are not isolated but interrelated, reflecting a commonality on the most miniature biological scale. Scientific research confirms that cells can hold emotional experiences, a finding that is relevant to...
Show moreThe Underlying of Being exhibition explores the complex relationship between the mind and body, delving into psychological effects at a cellular level. Art, science, and psychology contemplate the fundamental source of meaning and value: the human experience. The work emphasizes that our lives are not isolated but interrelated, reflecting a commonality on the most miniature biological scale. Scientific research confirms that cells can hold emotional experiences, a finding that is relevant to all humans. The conceptual visual context derives from philosophical systems, scientific theories, and aesthetic judgments, abstracting from the ever-changing ebb and flow of being in the living world. The Underlying of Being exhibition focuses on the figure in abstracted shapes and layers of monochromatic colors, various papers, fibers, wires, glaze, and paints, producing sections of human narration sinking below the surface into an illusion or disillusioned visual physiological state of fluid within an imagined biosystems.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014443
- Subject Headings
- Exhibitions, Art
- Format
- Document (PDF)
- Title
- AI Family: portraiture in artists books and web design.
- Creator
- Iudean, Tatyana V., Afanador-Llach, Camila, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
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This thesis employs graphic design to envision the present and future scenario of humanity adapting to artificial intelligence and the current state of continuous data harvesting by organizations and platforms that lack transparency with the public. Explored topics include the impact of AI on families and the importance of gaining awareness regarding the potential negative and positive consequences of uncontrolled data collection about individuals. These themes converge in my exhibition to...
Show moreThis thesis employs graphic design to envision the present and future scenario of humanity adapting to artificial intelligence and the current state of continuous data harvesting by organizations and platforms that lack transparency with the public. Explored topics include the impact of AI on families and the importance of gaining awareness regarding the potential negative and positive consequences of uncontrolled data collection about individuals. These themes converge in my exhibition to depict the current and potentially future reality of living in a family with the constant presence of AI and the associated dangers it entails. The concept of data harvesting, depicted through artists books and web design, serves as a visual commentary on the current situation within families, seen as microcosms of the broader community and humanity as a whole. This situation highlights the notion that we are already residing in the Brave New World envisioned by Aldous Huxley. AI possesses the capacity to profoundly influence all artistic genres, including artists books, introducing an additional dimension to their expression. From generating storytelling and art to facilitating collaborations between artists and artificial intelligence, the applications of AI are boundless. Utilizing Chat GPT and Adobe Firefly, I aim to create one of my artists books primarily generated by AI. This endeavor seeks to redefine a family portrait, illustrating the integration of artificial intelligence into the lives of families and humanity overall. By focusing on the family portrait genre within artists books and incorporating the latest family member, AI, I intend to prompt social awareness, fostering a deeper understanding of contemporary reality and inviting a dialogue.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014433
- Subject Headings
- Graphic arts, Artists' books, Web sites--Design
- Format
- Document (PDF)
- Title
- Weaving Visual Identities Beyond Borders Through Immersive Experience.
- Creator
- Panahandeh, Narges, Afanador-Llach, Camila, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
-
Effective communication and a sense of togetherness between people from different backgrounds happen on a platform of mutual understanding. The boundaries of differences between people from various cultures limit our understanding of each other's conditions, problems, and concerns. As a designer, I seek to fade the boundaries between cultures and facilitate a conversation, promoting mutual understanding by blending visual elements from American and Iranian cultures. With interactive visual...
Show moreEffective communication and a sense of togetherness between people from different backgrounds happen on a platform of mutual understanding. The boundaries of differences between people from various cultures limit our understanding of each other's conditions, problems, and concerns. As a designer, I seek to fade the boundaries between cultures and facilitate a conversation, promoting mutual understanding by blending visual elements from American and Iranian cultures. With interactive visual media and storytelling, I have created diverse visual artworks that combine traditional Iranian arts and crafts elements with visuals from American popular culture. This body of work includes illustrations, patterns, motion design, audio, and augmented reality. Through these shared visual experiences, I aim to introduce new values into the sphere of design, enrich the design world with diversity, and build a shared visual experience that talks both to Iranians and the cultural milieu of the United States. Producing art pieces with the theme of Shared Visual Experiences can aid in promoting diversity, fostering connection, encouraging innovation and creativity, and bringing attention to significant social and cultural issues. It is a meaningful way to contribute to a more interconnected world that benefits everyone.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014428
- Subject Headings
- Immersive art experiences, Art and design, Culture
- Format
- Document (PDF)
- Title
- Small Anodic Polarization as a Mean to Modestly Accelerate Rebar Corrosion.
- Creator
- da Silveira, Gabrielle Pimentel, Presuel-Moreno, Francisco, Pierre-Philippe, Beaujean, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
- Abstract/Description
-
The study of non-invasive techniques to analyze the propagation of corrosion in steel reinforced concrete structures proves to be a great alternative to better understanding the corrosive process of rebar and increasing its useful life. The study presented in this document examines the evolution of steel reinforced concrete corrosion over time by applying a small anodic current over four samples, one with a single rebar (16X) and three with three rebars. The rebars were interconnected to...
Show moreThe study of non-invasive techniques to analyze the propagation of corrosion in steel reinforced concrete structures proves to be a great alternative to better understanding the corrosive process of rebar and increasing its useful life. The study presented in this document examines the evolution of steel reinforced concrete corrosion over time by applying a small anodic current over four samples, one with a single rebar (16X) and three with three rebars. The rebars were interconnected to apply the anodic current and accelerate their corrosion. Galvanostatic Pulse (GP) was used. This method applies a constant current pulse to the rebar for 150 seconds while monitoring the potential of the rebars. Each rebar's corrosion current was assessed using GP measurements when no anodic current was applied, and the rebars were disconnected. Sample 16X additionally underwent ultrasonic acoustic analysis by collecting the surface and rebar echo response with a transducer and modeling the sound propagation for poroelastic media with an adapted version of the novel Biot-Stoll method.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014491
- Subject Headings
- Reinforced concrete--Corrosion, Reinforced concrete--Analysis, Nondestructive testing
- Format
- Document (PDF)
- Title
- IPÒP KRÉYÒL: ORALITURE AND IDENTITY IN THE FRENCH WEST INDIES.
- Creator
- Kandassamy, Coraline, Agurto, Andrés Espinoza, Esquilín, Mary Ann Gosser, Florida Atlantic University, Department of Languages, Linguistics and Comparative Literature, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
-
My research centers around French West Indian hip hop music (also called rap) and identity, from its emergence in the 1980s to its evolution in the ensuing years against the backdrop of the Caribbean Francophone literary traditions, as another musical expression of oraliture. By oraliture, we understand a set of unwritten and oral creations representing an era or a community. The dissertation aims to study the appropriation of hip hop music by local artists in the French West Indies (F.W.I.),...
Show moreMy research centers around French West Indian hip hop music (also called rap) and identity, from its emergence in the 1980s to its evolution in the ensuing years against the backdrop of the Caribbean Francophone literary traditions, as another musical expression of oraliture. By oraliture, we understand a set of unwritten and oral creations representing an era or a community. The dissertation aims to study the appropriation of hip hop music by local artists in the French West Indies (F.W.I.), in particular focusing on the islands of Guadeloupe and Martinique, because of their geographic, social, political, and cultural settings. Given that these islands have a long-standing tradition of story-telling set to rhythmical patterns, this work analyzes the ways in which ipop Kreyol lyrics highlight the dynamics of the area, paying attention to the aesthetics, the semiotics, and the performance. Considering hip hop music as part of an oral literature framework allows us to address the questions of identity prevalent in the F.W.I. given their relationship to metropolitan France, the Caribbean, and the U.S.. Caribbean theorists have proposed notions of transculturation, poetics of relation, creolization, and Tout-Monde, among others, to understand fluid identity concepts. The use of Creole in rhythmical patterns found in rap lyrics is at the crossroads of identity building in the F.W.I.. Hip hop music lyrics, a cultural product entrenched in the islands’ oral literary traditions, become a useful means to study the development of a unique French West Indian cultural voice, both on the islands and in the diaspora.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014537
- Subject Headings
- Ethnomusicology, French--West Indies, Hip-hop (Music)
- Format
- Document (PDF)
- Title
- INFRASTRUCTURE AND METHODS FOR WIFI-BASED PASSIVE DEVICE LOCALIZATION, FINGERPRINTING, AND RE-IDENTIFICATION FOR MOBILITY INTELLIGENCE.
- Creator
- Mazokha, Stepan, Hallstrom, Jason O., Sklivanitis, George, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
Mobility monitoring in urban environments can provide valuable insights into pedestrian and vehicle movement – where people want to go, how they get there, and the challenges they face along the way. Today, local governments can automate the acquisition of such data using video surveillance to understand the potential impact of investment and policy decisions. However, public disapproval of computer vision due to privacy concerns opens opportunities for research into alternative tools built...
Show moreMobility monitoring in urban environments can provide valuable insights into pedestrian and vehicle movement – where people want to go, how they get there, and the challenges they face along the way. Today, local governments can automate the acquisition of such data using video surveillance to understand the potential impact of investment and policy decisions. However, public disapproval of computer vision due to privacy concerns opens opportunities for research into alternative tools built with privacy constraints at the core of the design. WiFi sensing emerges as a promising solution. Modern mobile devices ubiquitously support the 802.11 standard and regularly emit WiFi probe requests for network discovery. We can passively monitor this traffic to estimate the levels of congestion in public spaces. In this dissertation, we address three fundamental research problems pertaining to developing streetscape-scale mobility intelligence: scalable infrastructure for WiFi signal capture, passive device localization, and device re-identification.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014551
- Subject Headings
- Deep learning (Machine learning), IEEE 802.11 (Standard), Wireless sensor networks, Computer engineering
- Format
- Document (PDF)
- Title
- Fragmented Realities: Exploring Vulnerability and Identity in the Digital Age.
- Creator
- Dadabaeva, Nargiza, McConnell, Brian, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
-
This thesis exhibition explores how digital culture affects identity and connection through a series of paintings made through collage, mixed media, and reflective surfaces. It looks at how identity is fragmented in the digital age when we construct personas online that are selected and, therefore, less authentic. The paintings juxtapose the use of analog methods with digital imagery, in order to ask about the tension between vulnerability and performance and the authenticity of online...
Show moreThis thesis exhibition explores how digital culture affects identity and connection through a series of paintings made through collage, mixed media, and reflective surfaces. It looks at how identity is fragmented in the digital age when we construct personas online that are selected and, therefore, less authentic. The paintings juxtapose the use of analog methods with digital imagery, in order to ask about the tension between vulnerability and performance and the authenticity of online interactions. The series is about emotional exhaustion, curated personas, and the search for genuine connection. Reflective elements and textures mounted and layered encourage viewers to engage in a dialectic between themselves and the mediated world, between 'digital self' and the 'authentic self.' The thesis hopes that this work can provoke discourse regarding the ramifications of digital culture on self-perceiving and interpersonal relations in recognizing the human dependence on depth and vulnerability in our fragmented reality.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014548
- Subject Headings
- Digital culture & society, Identity, Social media
- Format
- Document (PDF)
- Title
- NOVEL TECHNIQUES FOR HANDLING IMBALANCED DATA WITH UNSUPERVISED METHODS.
- Creator
- Kennedy, Robert Kwan Lee, Khoshgoftaar, Taghi M., Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
In the modern data landscape, vast amounts of unlabeled data are continuously generated, necessitating development of robust unsupervised techniques for handling unlabeled data. This is the case for fraud detection and healthcare sectors analyses, where data is often significantly imbalanced. This dissertation focuses on novel techniques for handling imbalanced data, with specific emphasis on a novel unsupervised class labeling technique for unlabeled fraud detection datasets and unlabeled...
Show moreIn the modern data landscape, vast amounts of unlabeled data are continuously generated, necessitating development of robust unsupervised techniques for handling unlabeled data. This is the case for fraud detection and healthcare sectors analyses, where data is often significantly imbalanced. This dissertation focuses on novel techniques for handling imbalanced data, with specific emphasis on a novel unsupervised class labeling technique for unlabeled fraud detection datasets and unlabeled cognitive datasets. Traditional supervised machine learning relies on labeled data, which is often expensive and difficult to create, particularly in domains requiring expert input. Additionally, such datasets suffer from challenges associated with class imbalance, where one class has significantly fewer examples than another, complicating model training and significantly reducing performance. The primary objectives of this dissertation include developing a novel unsupervised cleaning method, and an innovative unsupervised class labeling method. We validate and evaluate our methods across various datasets, which include two Medicare fraud detection datasets, a credit card fraud detection dataset, and three datasets used for detecting cognitive decline. Our unique approach involves using an unsupervised autoencoder to learn from dataset features and synthesize labels. Primarily targeting imbalanced datasets, but still effective for balanced datasets, our method calculates an error metric for each instance. This metric is used to distinguish between fraudulent and legitimate cases, allowing us to assign a binary class label. To further improve label generation, we integrate an unsupervised feature selection method that ranks and identifies the most important features without using class labels.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014547
- Subject Headings
- Machine learning, Big data, Computer science
- Format
- Document (PDF)
- Title
- SPATIAL DEEP LEARNING APPROACH TO OLDER DRIVER CLASSIFICATION.
- Creator
- Boateng, Charles, Yang, KwangSoo, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
Telemetry data has become a crucial resource for detecting abnormal driving behaviors, especially for elderly drivers with Mild Cognitive Impairment (MCI) or dementia. This thesis proposes a novel spatial deep learning method that combines traditional telematics features with Grid-Index Resolution (GIR) to enhance the detection of abnormal driving behavior. By utilizing grid-indexed spatial-temporal analysis, the approach aims to capture more intricate driving patterns, which are often missed...
Show moreTelemetry data has become a crucial resource for detecting abnormal driving behaviors, especially for elderly drivers with Mild Cognitive Impairment (MCI) or dementia. This thesis proposes a novel spatial deep learning method that combines traditional telematics features with Grid-Index Resolution (GIR) to enhance the detection of abnormal driving behavior. By utilizing grid-indexed spatial-temporal analysis, the approach aims to capture more intricate driving patterns, which are often missed by traditional methods that rely only on basic telematics data such as speed, direction, and distance. The methodology integrates Simple Neural Networks (SNN) to process traditional telematics features and Convolutional Neural Networks (CNN) to handle spatial relationships through grid-based data. The fusion of these two feature sets into a combined model improves the model's ability to accurately classify normal and abnormal driving behaviors. This thesis evaluates the proposed approach using a dataset collected over 3.5 years from elderly drivers, including those with MCI. Experimental results demonstrate that the combined model achieves a classification accuracy of 97%, outperforming existing methods. The findings suggest that integrating grid-based spatial-temporal analysis into deep learning models offers significant potential for improving road safety, insurance risk assessment, and targeted interventions for at-risk drivers.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014535
- Subject Headings
- Older automobile drivers, Telemetry, Deep learning (Machine learning), Spatial data mining
- Format
- Document (PDF)
- Title
- LO ANDRÓGINO: TROPO RIZOMÁTICO ENTRE LA FICCIÓN Y LA HISTORIA HISPANO-CARIBEÑAS.
- Creator
- Mansilla-Bjalme, Julissa, Esquilín, Mary Ann Gosser, Florida Atlantic University, Department of Languages, Linguistics and Comparative Literature, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
-
This comparative research identifies and analyzes recurring tropes in the novels Cobra (1972) by Cuban writer Severo Sarduy and La mucama de Omicunlé (2015) by Dominican writer Rita Indiana. Despite the years between the publication of these important Spanish-Caribbean works, they both reveal transformative processes through transgressive writing styles. Seemingly diverse, these novels present a similar plot: a series of violent events that surround the protagonists’ androgyny. Their stories...
Show moreThis comparative research identifies and analyzes recurring tropes in the novels Cobra (1972) by Cuban writer Severo Sarduy and La mucama de Omicunlé (2015) by Dominican writer Rita Indiana. Despite the years between the publication of these important Spanish-Caribbean works, they both reveal transformative processes through transgressive writing styles. Seemingly diverse, these novels present a similar plot: a series of violent events that surround the protagonists’ androgyny. Their stories bare a deeper significance as changes to the bodies provoke ruptures that unearth rhizomatic connections with the rest of the surrounding nature, which, of course, has its own histories, different from the ones recorded by humans. Moreover, the novels explore multiplicities and (re)occurrences through times and spaces imperceptibly interconnected. The androgynous rhizomatic trope in contemporary Spanish-Caribbean novels proves to be a significant contribution that leads readers to question biased historical records, conceived to perpetuate coloniality, and dispute heteropatriarchal visions of nature to bring about transcendental changes to the status quo.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014517
- Subject Headings
- Latin American literature, Sarduy, Severo. Cobra, Hernández, Rita Indiana, 1977- Mucama de Omicunlé. English
- Format
- Document (PDF)
- Title
- AN ENTITY SOLUTION FRAME (ESF) FOR AUTONOMOUS CARS.
- Creator
- Thapa, Bijayita, Larrondo-Petrie, Maria M., Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
The Cyber-Physical Systems (CPSs) and Internet of Things (IoT) have become emerging and essential technologies of the past few decades that connect various heterogeneous systems and devices. Sensors and actuators are fundamental units in most CPS and IoT systems, they are used extensively in vehicle systems, smart health care systems, smart buildings and cities, and many other types of applications. The extensive use of sensors and actuators, coupled with their increasing connectivity,...
Show moreThe Cyber-Physical Systems (CPSs) and Internet of Things (IoT) have become emerging and essential technologies of the past few decades that connect various heterogeneous systems and devices. Sensors and actuators are fundamental units in most CPS and IoT systems, they are used extensively in vehicle systems, smart health care systems, smart buildings and cities, and many other types of applications. The extensive use of sensors and actuators, coupled with their increasing connectivity, exposes them to a wide range of threats. Given their integration into various systems and the use of multiple technologies, it is very useful to characterize their functions abstractly. For concreteness, we study them here in the context of autonomous cars. An autonomous car is an example of a CPS, which includes IoT applications. For instance, IoT units allow an autonomous car to be connected wirelessly to roadside units, other vehicles, and fog and cloud systems. Also, the IoT allows them to collect and share information on traffic, navigation, roads, and other aspects. An autonomous car is a complex system, not only due to its intricate design but also because it operates in a dynamic environment, interacting with other vehicles and the surrounding infrastructure. To manage these functions, it must integrate various technologies from different sources. Specifically, a diverse array of sensors and actuators is essential for the functionality of autonomous vehicles.
Show less - Date Issued
- 2024
- PURL
- http://purl.flvc.org/fau/fd/FA00014533
- Subject Headings
- Automated vehicles, Sensors, Actuators, Automobiles--Design and construction, Automotive engineering
- Format
- Document (PDF)
- Title
- Flood Analysis in Nassau County, Florida.
- Creator
- Hewett, Michelle, Mitsova, Diana, Florida Atlantic University, Department of Urban and Regional Planning, Department of Urban and Regional Planning
- Abstract/Description
-
Flooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities....
Show moreFlooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities. In this context, planning for the future entails conducting multi-hazard analysis of risks posed by current and future storm events. This study undertakes a comprehensive analysis of flood risks in Nassau County, Florida, and examines current and future zoning and land use plans and buildings codes to provide science-based recommendations for addressing these risks.
Show less - Date Issued
- 2021
- PURL
- http://purl.flvc.org/fau/fd/FA00013700
- Subject Headings
- Floods--Risk assessment, Nassau County (Fla.), Floods
- Format
- Document (PDF)
