Digital Commons Network^™

Communicating And Co-Producing Information With Stakeholders: Examples Of Participatory Mapping Approaches Related To Sea Level Rise Risks And Impacts, Pragati Rawat, Khairul A. Anua, Juita-Elena (Wie) Yusuf, Jon Derek Loftis, Ren-Neasha Blake

School of Public Service Faculty Publications

This chapter discusses practical approaches for using participatory mapping as a tool to visualize and communicate sea level rise (SLR) and climate change risks, to share information about the vulnerability to, and threats of, climate change, and to co-produce knowledge with stakeholders. The examples presented in this chapter are from demonstrated applications in communities in Virginia (USA) that involve participatory mapping and that utilize a web-Geographic Information System (GIS). The web-GIS is innovatively combined with other technologies and participatory processes to create low-cost high-tech approaches so that even people with little to no knowledge of GIS can interact with maps …

10th International Conference On Business, Technology And Innovation 2021, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2021

UBT Annual International Conference is the 10th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

Thin Safety Margin: The Sefor Super-Prompt-Critical Transient Experiments, Ozark Mountains, Arkansas 1970–1971, Jerry Havens, Collis Geren

Arkansas Scholarly Editions

Thin Safety Margin charts the history of SEFOR, a twenty-megawatt reactor that operated for three years in the rural Ozark Mountains of Arkansas as part of an internationally sponsored program designed to demonstrate the Doppler effect in plutonium-oxide-fueled fast reactors. Authors Jerry Havens and Collis Geren draw upon this history to assess the accidental explosion risk inherent in using fast reactors to reduce the energy industry’s carbon dioxide emissions.

If a sufficiently powerful fast-neutron explosion were to cause the containment of a reactor such as SEFOR’s to fail, the reactor’s radiotoxic plutonium fuel could vaporize and escape into the surrounding …

An Adaptive Hazard Planning And Mitigation Framework For Responding To Urban Contamination In Karst Aquifer Systems, James Edward Troxell

Masters Theses & Specialist Projects

Environmental hazards in karst regions are damaging and often go unnoticed until an issue has escalated to a point of affecting life or property. The field of emergency and environmental contamination response lacks planning or preparedness focused on remediating groundwater contamination in karst systems. A lack of preplanning before an incident can lead to confusion, delayed response, and the inability to remediate the contaminant. Due to the rapid movement of contaminants through urban karst groundwater aquifers, an efficient response plan that leverages localized data in a GIS should be developed and maintained in order to adequately respond. The objective of …

Greenhouse Gas Inventory Of Transportation And Driving Habits At Gettysburg College, Flavia Soctto D'Antuono, Megan G. Wojnar

Student Publications

By tracking the overall emissions put out by a college campus, mitigation strategies can be researched to lower total emissions. This study utilized a survey for both the student body and faculty and staff members at Gettysburg College in Gettysburg, Pennsylvania. This survey allowed this study to answer three research questions; what is the total number of Scope 3 emissions at Gettysburg College, how do these findings compare to findings from 2009 and the 2016 STARS report for Gettysburg College, and if any potential mitigation strategies are welcomed by the campus community. This study examined five major driving related emission …

Cis 440 Unix, George A. Nossa

Open Educational Resources

This document is a topical outline of the CIS 440 UNIX Course. This course is mostly based on lab assignments that are performed by students using their home computers (desktops or laptops). The home computers are configured as virtual machines by installing the Oracle Virtual Box Version 6.12 The Ubuntu Desktop Operating System (version 20.04) is then installed on these virtual machines, which are then used to run the course labs. The first Unit of the syllabus covers the virtual machine configuration for the lab environment and subsequent Units are a topical outline of the course. The detailed content is …

Uav-Assisted Data Dissemination Based On Network Coding In Vehicular Networks, Shidong Huang, Chuanhe Huang, Yabo Yin, Dongfang Wu, M. Wasim Abbas Ashraf, Bin Fu

Computer Science Faculty Publications

Efficient and emergency data dissemination service in vehicular networks (VN) is very important in some situations, such as earthquakes, maritime rescue, and serious traffic accidents. Data loss frequently occurs in the data transition due to the unreliability of the wireless channel and there are no enough available UAVs providing data dissemination service for the large disaster areas. UAV with an adjustable active antenna can be used in light of the situation. However, data dissemination assisted by UAV with the adjustable active antenna needs corresponding effective data dissemination framework. A UAV-assisted data dissemination method based on network coding is proposed. First, …

Radioactive Waste Management In St. Louis, Amanda Lopez

Undergraduate Research Symposium

In St. Louis, MO, we face a nuclear waste dilemma due to the poorly disposed uranium ore materials in the West Lake and Bridgeton landfill areas. The ethical dilemma can be seen as nuclear waste's intergenerational implications and the search for sustainable development options. This research evaluates the most environmentally responsible radioactive waste management strategies and attempts to find an equitable solution to the St. Louis radioactive waste dilemma.

Exploring, Understanding, Then Designing: Twitter Users’ Sharing Behavior For Minor Safety Incidents, Mashael Yousef Almoqbel

Dissertations

Social media has become an integral part of human lives. Social media users resort to these platforms for various reasons. Users of these platforms spend a lot of time creating, reading, and sharing content, therefore, providing a wealth of available information for everyone to use. The research community has taken advantage of this and produced many publications that allow us to better understand human behavior. An important subject that is sometimes discussed and shared on social media is public safety. In the past, Twitter users have used the platform to share incidents, share information about incidents, victims and perpetrators, and …

Racial Profiling: Understanding The Practice Of Stop-And-Frisk In New York City, Lisa Ly

Spectra Undergraduate Research Journal

Racial profiling has become a prominent issue in modern policing today. Instead of being based on individual suspicion, racial profiling embodies a belief that people of color are continuously singled out by the police for scrutiny and harassment. Policies and procedures make the Black community vulnerable to police discrimination and racial profiling. Floyd et al. v. City of New York et al. (2013) declared that the New York Police Department’s (NYPD) practice of stop-and-frisk was racially profiling Black civilians. This study sought (1) to determine if the NYPD post-Floyd is still engaging in racial profiling towards Black civilians; and (2) …

Tweet-To-Act: Towards Tweet-Mining Framework For Extracting Terrorist Attack-Related Information And Reporting, Farkhund Iqbal, Rabia Batool, Benjamin C. M. Fung, Saiqa Aleem, Ahmed Abbasi, Abdul Rehman Javed

All Works

The widespread popularity of social networking is leading to the adoption of Twitter as an information dissemination tool. Existing research has shown that information dissemination over Twitter has a much broader reach than traditional media and can be used for effective post-incident measures. People use informal language on Twitter, including acronyms, misspelled words, synonyms, transliteration, and ambiguous terms. This makes incident-related information extraction a non-trivial task. However, this information can be valuable for public safety organizations that need to respond in an emergency. This paper proposes an early event-related information extraction and reporting framework that monitors Twitter streams, synthesizes event-specific …

The Affect Of Globalization On Terrorism, Philip R. Passante

Master's Theses

This thesis proposal will dive into the concept of terrorism and how it is an act of force and has proven to be detrimental to the modern world. In addition, this thesis will analyze the concept of terrorism as well as the rationale behind it. It is important to understand and study this as terrorism is a complex entity made up of different themes. The concentration of this thesis will highlight how globalization has affected the phenomena of terrorism in the past, present, and ultimately the future. Globalization and terrorism have a relationship that many scholars and researchers have noticed. …

Signal Fingerprinting And Machine Learning Framework For Uav Detection And Identification., Olusiji Oloruntobi Medaiyese

Electronic Theses and Dissertations

Advancement in technology has led to creative and innovative inventions. One such invention includes unmanned aerial vehicles (UAVs). UAVs (also known as drones) are now an intrinsic part of our society because their application is becoming ubiquitous in every industry ranging from transportation and logistics to environmental monitoring among others. With the numerous benign applications of UAVs, their emergence has added a new dimension to privacy and security issues. There are little or no strict regulations on the people that can purchase or own a UAV. For this reason, nefarious actors can take advantage of these aircraft to intrude into …

Void Hunting: Ambient Noise Tomography For Spatio-Temporal Subsurface Imaging And Monitoring In Karst Environments, John B. Paustian

Boise State University Theses and Dissertations

Karst environments are characterized by voids, i.e. sinkholes and conduits of varying size that arise from the active dissolution of carbonate rock by acidic groundwater. These voids, whether air-, water-, or soil-filled, can be difficult to image using near-surface geophysical methods due to the limited investigation depths of most active-source methods. In addition, due to the significant effort it takes to collect active-source data, investigators are often unable to monitor spatio-temporal variations in the subsurface. The ability to detect, image, and monitor subsurface voids improves the understanding of processes that create and transform voids, a vitally important insight across a …

Level Of Engagement With Social Networking Services And Fear Of Online Victimization: The Role Of Online Victimization Experiences, Yeonjae Park, Lynne M. Vieraitis

International Journal of Cybersecurity Intelligence & Cybercrime

No abstract provided.

How Do You Visit: Identifying Addicts From Large-Scale Transit Records Via Scenario Deep Embedding, Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu

Research Collection School Of Computing and Information Systems

Identification of individuals based on transit modes is of great importance in user tracking systems. However, identifying users in real-life studies is not trivial owing to the following challenges: 1) activity data containing both temporal and spatial context are high-order and sparse; 2) traditional two-step classifiers depend on trajectory patterns as input features, which limits accuracy especially in the case of scattered and diverse data; 3) in some cases, there are few positive instances and they are difficult to detect. Therefore, approaches involving statistics-based or trajectory-based features do not work effectively. Deep learning methods also suffer from the problem of …

The French Connection: Borda, Condorcet And The Mathematics Of Voting Theory, Janet Heine Barnett

General Education and Liberal Studies

No abstract provided.

Sepsis Monitoring Using Contextually-Tailored Online Change Point Detection And Beyond, Nazmus Sakib

Dissertations (1934 -)

Considering morbidity, mortality, and annual treatment costs, the dramatic rise in the incidence of sepsis and septic shock among intensive care unit (ICU) admissions in US hospitals is an increasing concern. The recent excruciating statistics regarding sepsis mortality, the average length of hospital stay, and annual treatment costs made sepsis treatment and research a critical domain in medical informatics. The aims of this dissertation center around four research questions. First, we discuss how we can investigate the prevalence and underlying relation of the sepsis diagnosis criteria (qSOFA and SIRS) and its implications in Medical Informatics and predictive analytics. Second, we …

Characterization And Modeling Of Upward Lightning At The Gaisberg Tower, Naomi Watanabe

Theses and Dissertations

The majority of cloud-to-ground lightning is downward. Upward lightning rarely occurs; less than 1% of cloud-to-ground lightning is upward. Upward lightning differs from its downward counterpart in how it is initiated. Upward lightning is initiated by an upward moving leader from a tall (> 100 m) object on ground that reaches into the charge regions of an overhead thundercloud resulting in a relatively-long-duration (tens to hundreds of milliseconds), low-level (tens to hundreds of amperes) current called the initial continuous current. It is of significant importance to understand in detail the processes associated with upward lightning as it affects ground-based infrastructure …

Rainfall-Runoff Mechanisms And Flood Mitigation In A Coastal Watershed With Numerous Wetlands And Ponds, Homa Jalaeian Taghadomi

Civil & Environmental Engineering Theses & Dissertations

This study analyzed mechanisms of flooding in Blackwater River Watershed, located in coastal Virginia and hydraulically connected with mid-Atlantic Ocean. The analysis was based on the examination and simulation of the rainfall-runoff relationship, and such an analysis is very important for conventional water resource management and dealing with hydrologic extremes (e.g., floods and droughts, as well as ecological and pollution discharges). The rainfall-runoff relationship is a quantitative description of the hydrologic cycle, a dynamic process that can be interactively influenced by various factors, namely climate, topography, soils, land use and land cover, and land management practice.

In the past 60 …

Adaptive Network Slicing In Fog Ran For Iot With Heterogeneous Latency And Computing Requirements: A Deep Reinforcement Learning Approach, Almuthanna Nassar

USF Tampa Graduate Theses and Dissertations

In view of the recent advances in Internet of Things (IoT) devices and the emerging new breed of smart city applications and intelligent vehicular systems driven by artificial intelligence, fog radio access network (F-RAN) has been recently introduced for the next generation wireless communications. The capability of F-RAN has emerged to overcome the latency limitations of cloud-RAN (C-RAN) and assure the quality-of-service (QoS) requirements of the ultra-reliable-low-latency-communication (URLLC) for IoT applications. To this end, fog nodes (FNs) are equipped with computing, signal processing and storage capabilities to extend the inherent operations and services of the cloud to the edge. However, …

Flying Free: A Research Overview Of Deep Learning In Drone Navigation Autonomy, Thomas Lee, Susan Mckeever, Jane Courtney

Articles

With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the …

How Social Media And Embedded Recommender Algorithm Fostered Political Issues, Yan Shi

School of Professional Studies

Social media plays a significant role in social communication and interaction, connecting people from different continents and facilitating information flaws worldwide. Meanwhile, along with the evolution of embedded recommender algorithms that clustering people with similar demographic features, social media has become the most important means of communication for modern society. However, the prosper of interconnecting platforms also have potential flows alongside. One of the major issues is the unexpected political consequence. This paper delivers the first comprehensive analysis of the political impacts posed by social media and embedded recommending algorithms. The article identifies three major political concerns through literature review, …

Grand-Vision: An Intelligent System For Optimized Deployment Scheduling Of Law Enforcement Agents, Jonathan Chase, Tran Phong, Kang Long, Tony Le, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Law enforcement agencies in dense urban environments, faced with a wide range of incidents to handle and limited manpower, are turning to data-driven AI to inform their policing strategy. In this paper we present a patrol scheduling system called GRAND-VISION: Ground Response Allocation and Deployment - Visualization, Simulation, and Optimization. The system employs deep learning to generate incident sets that are used to train a patrol schedule that can accommodate varying manpower, break times, manual pre-allocations, and a variety of spatio-temporal demand features. The complexity of the scenario results in a system with real world applicability, which we demonstrate through …

Current Stormwater Practices And Future Implementation At Portland State University With The Uncertainty Of Climate Change, Evan Suemori, Alexandra Vargas Quiñones

Environmental Science and Management Professional Master's Project Reports

Stormwater runoff is one of the most critical environmental issues in urban areas and is only expected to worsen as climate change persists (EPA, 2016). When precipitation events occur, stormwater travels across impervious surfaces collecting soils and pollutants which can negatively impact water quality in receiving waters. Additionally, stormwater has human health impacts, specifically through flooding and the contamination of drinking water. According to the Intergovernmental Panel on Climate Change (IPCC), it has been determined that climate change will increase the frequency, intensity, and/or number of precipitation events in some regions, including the Pacific Northwest, and decrease in others (IPCC, …

Hydrometeorological Responses To Abrupt Land Surface Change Following Hurricane Michael, Shannon Alexis Nelson

LSU Master's Theses

While many of the destructive environmental conditions associated with tropical cyclones are well recognized, tropical cyclone-induced defoliation, a reduction in green leaves and mature vegetation, has been largely overlooked as a source of environmental stress following tropical cyclone passage. The land surface change associated with defoliation reduces evapotranspiration and shade, thus altering boundary layer moisture and energy fluxes that drive the local water cycle, for many months after tropical cyclone passage. Understanding the potential for any hydrometeorological impacts arising from such abrupt land surface change is important for guiding future post-hurricane preparedness and recovery planning in coastal communities.

This thesis …

Ieee Access Special Section Editorial: Software-Defined Networks For Energy Internet And Smart Grid Communication, Mubashir Husain Rehmani, Alan Davy, Brendan Jennings, Zeeshan Kaleem, Akhilesh S. Thyagaturu, Hassnaa Moustafa, Al-Sakib Khan Pathan

Publications

A new network paradigm of software-defined networks (SDNs) is being widely adapted to efficiently monitor and manage the communication networks with a global perspective. SDN has a key networking feature that separates control and data plane. Today, due to its inherent benefits, SDN has been widely applied to various networking domains, including data centers, 5G Access and Core network functions, wide area network (WAN), enterprise, optical networks, underwater sensor networks (UWSNs), energy Internet (EI), and smart grid (SG).

2vt: Visions, Technologies, And Visions Of Technologies For Understanding Human Scale Spaces, Ville Paanen, Piia Markkanen, Jonas Oppenlaender, Haider Akmal, Lik Hang Lee, Ava Fatah Gen Schieck, John Dunham, Konstantinos Papangelis, Nicolas Lalone, Niels Van Berkel, Jorge Goncalves, Simo Hosio

Presentations and other scholarship

Spatial experience is an important subject in various fields, and in HCI it has been mostly investigated in the urban scale. Research on human scale spaces has focused mostly on the personal meaning or aesthetic and embodied experiences in the space. Further, spatial experience is increasingly topical in envisioning how to build and interact with technologies in our everyday lived environments, particularly in so-called smart cities. This workshop brings researchers and practitioners from diverse fields to collaboratively discover new ways to understand and capture human scale spatial experience and envision its implications to future technological and creative developments in our …

Broadband In Rhode Island, Deborah Ruggiero

School of Professional Studies

Broadband is the 21st century fiber-optic highway in our technology and information economy. The need for high-speed fiber-optic connectivity is critical for economic development, education, business, e-learning, and telehealth

Monitoring White-Tailed Deer Abundance And Habitat Selection In The Albany Pine Bush Preserve Using Unmanned Aerial Systems, Christopher Plummer

Legacy Theses & Dissertations (2009 - 2024)

Unmanned aerial systems (UAS) have seen recent advancements in technology that gave rise to their increasing use in recreational and commercial application, including wildlife conservation. Adaptive management is a must for wildlife conservation, with the goal of learning from management decisions to improve future management strategies, especially in the face of growing human related stressors such as climate change and habitat loss. Monitoring is a critical step for adaptive management, as it allows the manger to learn about the ecology of the natural system and quantify the impacts of management strategies. Species and habitats are frequently monitored for wildlife conservation …