Digital Commons Network^™

A Framework To Determine The Impact Of Poor Data Quality On The Reliability Of Iot Sensor-Based Real-Time Decision-Making, Arnold Rego

Theses and Dissertations

Today, more and more systems make real-time decisions based on the data received from sensors. But it is inevitable that sensors will fail, or send bad data – leading to faulty real-time decision-making. Using this poor-quality data in real-time decision-making can lead to deadly consequences. Traditional Data Quality (DQ) foundations call for “fixing” the poor DQ before the data can be used. However, time is often of the essence in a real-time decision-making environment, leaving little or no time to “fix” poor-quality data before it can be used in the decision-making process. The primary objective in real-time decision-making is not …

Toward The Standardization Of Mesoscale Meteorological Networks, Christopher Fiebrich, Kevin Brinson, Rezaul Mahmood, Stuart Foster, Megan Schargorodski, Nathan L. Edwards, Christopher A. Redmond, Jennie R. Atkins, Jeffrey Andresen, Xiaomao Lin

School of Natural Resources: Faculty Publications

Although they share many common qualities in design and operation, mesonetworks across the United States were established independently and organically over the last several decades. In numerous instances, the unique ways each network matured and developed new protocols has led to important lessons learned. These experiences have been shared in informal ways among various network operators over the years to promote reliable operation. As existing networks begin to introduce new sensors and technologies, and as new networks come online, there is a common need for guidance on best practices. This paper aims to formally provide recommendations to improve and harmonize …

Development And Characterization Of Robust Methods For Field Investigations With Portable Mass Spectrometry, Ashley Rose Stelmack

Theses and Dissertations

Portable mass spectrometry (MS) has become an area of interest due to the ability to conduct chemical analyses in native environments. These instruments have the potential to increase efficiency and analytical throughput via real-time experimentation, minimizing the need for sample transportation. One drive towards the development of fieldable mass spectrometers is the potential for coupling to novel ambient ionization methods (or “ambient MS”), which can generate spectral data at ambient conditions from unprepared or minimally prepared samples of interest. Since the first introduction of the desorption electrospray ionization (DESI) technique in 2004, a myriad of novel techniques have been reported …

Contempt In The Public Sphere, Joan Woolfrey

Sustainability Research & Practice Seminar Presentations

No abstract provided.

Advancing Best Practices For Aversion Conditioning (Humane Hazing) To Mitigate Human–Coyote Conflicts In Urban Areas, Lesley Sampson, Lauren Van Patter

Human–Wildlife Interactions

Coyotes (Canis latrans) are now recognized as a permanent feature in urban environments across much of North America. Behavioral aversion conditioning, or humane hazing, is increasingly advocated as an effective and compassionate alternative to wildlife management strategies, such as trap and removal. Given a growing public interest in humane hazing, there is a need to synthesize the science regarding methods, outcomes, efficacy, and other relevant considerations to better manage human–coyote conflicts in urban areas. This paper was prepared as an outcome of a workshop held in July 2019 by Coyote Watch Canada (CWC) to synthesize the literature on …

Csci 49380/79526: Fundamentals Of Reactive Programming- Syllabus, Raffi Khatchadourian

Open Educational Resources

No abstract provided.

Water Current, Volume 52, No. 3, Fall 2020

Water Current Newsletter

NWC Convenes August 3 Mini-Conference

Water and Public Safety

University Receives $5 million Gift to Create Program on Water, Climate and Health

Security, Privacy And Trust For Smart Mobile- Internet Of Things (M-Iot): A Survey, Vishal Sharma, Ilsun You, Karl Andersson, Francesco Palmieri, Mubashir Husain Rehmani, Jaedeock Lim

Publications

With an enormous range of applications, the Internet of Things (IoT) has magnetized industries and academicians from everywhere. IoT facilitates operations through ubiquitous connectivity by providing Internet access to all the devices with computing capabilities. With the evolution of wireless infrastructure, the focus from simple IoT has been shifted to smart, connected and mobile IoT (M-IoT) devices and platforms, which can enable low-complexity, low-cost and efficient computing through sensors, machines, and even crowdsourcing. All these devices can be grouped under a common term of M-IoT. Even though the positive impact on applications has been tremendous, security, privacy and trust are …

Optical Properties Using Adaptive Selection Of Nir/Swir Reflectance Correction And Quasi-Analytic Algorithms For The Modis-Aqua In Estuarine-Ocean Continuum: Application To The Northern Gulf Of Mexico, Ishan D. Joshi, Eurico J. D'Sa

Faculty Publications

An adaptive selection of the near/shortwave infrared (NIR/SWIR) reflectance correction and the quasi-analytic algorithms (QAAs) is proposed for the Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua) to utilize the strengths of different correction algorithms and QAAs in a single satellite scene with water types ranging from turbid coastal to clear open ocean waters. A blended satellite product is generated by merging three atmospheric-correction algorithms(AD-ATCOR): 1) iterative NIR correction; 2) management unit of the north sea mathematical models (MUMM); and 3) SWIR, using a spectral threshold-based selection for different water types. The validation analysis of a blended remote sensing reflectance product showed overall …

Cryptography, Passwords, Privacy, And The Fifth Amendment, Gary C. Kessler, Ann M. Phillips

Journal of Digital Forensics, Security and Law

Military-grade cryptography has been widely available at no cost for personal and commercial use since the early 1990s. Since the introduction of Pretty Good Privacy (PGP), more and more people encrypt files and devices, and we are now at the point where our smartphones are encrypted by default. While this ostensibly provides users with a high degree of privacy, compelling a user to provide a password has been interpreted by some courts as a violation of our Fifth Amendment protections, becoming an often insurmountable hurdle to law enforcement lawfully executing a search warrant. This paper will explore some of the …

Revision And Thinking About Agent-Based Modeling Research To Group Violent Activity, Chen Peng, Jianguo Chen, Hongyong Yuan

Journal of System Simulation

Abstract: The current work about Agent-based modeling research on group violent incidents was reviewed, which included the social science theory which undertakes the group violence simulation, the studies about Agent categorization, relationship modeling, Agent emotion production, adaptive decision-making process and evolution of complex behaviors. It was indicated that the constructing of Agent model experienced the process in which the Agent model transited from simplicity to more complexity, thus, focusing on individuality and heterogeneity's model construction which was integrated more on sociology and psychology would become a significant development trend. Following that, some suggestions and thinking which included the principle of …

An Evacuation Simulation Method Based On Disaster Avoidance Psychology And Disaster Impact, Zhang Han, Liping Zheng, Huang Kang, Haibo Lin

Journal of System Simulation

Abstract: Evacuating people safely and efficiently during disasters is the important guarantee to public safety, and the effective and feasible evacuation simulation method is theoretically and practically significant. The main methods seldom consider the dynamic evolution of disasters, so a dynamic Evacuation Route Replanning Based on Psychology (DERR) method is proposed. DERR method focuses on the psychological parameters of disaster avoidance of people. According to the change of disasters area, DERR can perform the real time evacuation process by using A* routing algorithm to re-plan and optimize the evacuation path. The simulation experiment shows the evacuation process of this method. …

Machine Learning Approaches For Improving Prediction Performance Of Structure-Activity Relationship Models, Gabriel Idakwo

Dissertations

In silico bioactivity prediction studies are designed to complement in vivo and in vitro efforts to assess the activity and properties of small molecules. In silico methods such as Quantitative Structure-Activity/Property Relationship (QSAR) are used to correlate the structure of a molecule to its biological property in drug design and toxicological studies. In this body of work, I started with two in-depth reviews into the application of machine learning based approaches and feature reduction methods to QSAR, and then investigated solutions to three common challenges faced in machine learning based QSAR studies.

First, to improve the prediction accuracy of learning …

Traffic Impacts Of The Covid-19 Pandemic: Statewide Analysis Of Social Separation And Activity Restriction, Scott Parr, Brian Wolshon, John Renne, Pamela Murray-Tuite, Karl Kim

Faculty Publications

The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on travel behavior have also been sudden and wide ranging. This study describes the drastic changes in human behavior using the analysis of highway volume data as a representation of personal activity and interaction. Same-day traffic volumes for 2019 and 2020 across Florida were analyzed to identify spatial and temporal changes in behavior resulting from the disease or fear of it and statewide directives to limit person-to-person interaction. Compared to similar days in 2019, overall statewide traffic volume dropped …

Application Of Artificial Intelligence And Geographic Information System For Developing Automated Walkability Score, Md Mehedi Hasan

Dissertations

Walking is considered as one of the major modes of active transportation, which contributes to the livability of cities. It is highly important to ensure walk friendly sidewalks to promote human physical activities along roads. Over the last two decades, different walk scores were estimated in respect to walkability measures by applying different methods and approaches. However, in the era of big data and machine learning revolution, there is still a gap to measure the composite walkability score in an automated way by applying and quantifying the activityfriendliness of walkable streets. In this study, a street-level automated walkability score was …

Eagle Creek Post-Fire Monitoring For Water Temperature & Water Stage, Sylas Daughtrey

Environmental Science and Management Professional Master's Project Reports

When investigating forested watersheds devastated by wildfire, the wide range of disturbance can lead to altering hydrological effects through the loss in ground cover vegetation, canopy cover, while also disrupting soil characteristics. Within the Pacific Northwest, forested drainages affected by post-fire disturbance are further altered in areas that experience seasonal rainfall and snow melt events. When looking at the post-fire sloped areas of Eagle Creek and Tanner Creek within the Columbia Gorge of Oregon, the loss of ground cover and organic matter throughout these two watersheds pose a legitimate concern for erosion events as well as hydrological changes due to …

Patterns Of Population Displacement During Mega-Fires In California Detected Using Facebook Disaster Maps, Shenyue Jia, Seung Hee Kim, Son V. Nghiem, Paul Doherty, Menas Kafatos

Mathematics, Physics, and Computer Science Faculty Articles and Research

The Facebook Disaster Maps (FBDM) work presented here is the first time this platform has been used to provide analysis-ready population change products derived from crowdsourced data targeting disaster relief practices. We evaluate the representativeness of FBDM data using the Mann-Kendall test and emerging hot and cold spots in an anomaly analysis to reveal the trend, magnitude, and agglommeration of population displacement during the Mendocino Complex and Woolsey fires in California, USA. Our results show that the distribution of FBDM pre-crisis users fits well with the total population from different sources. Due to usage habits, the elder population is underrepresented …

A Systematic Media Frame Analysis Of 1.5 Million New York Times Articles From 2000 To 2017, Haewoon Kwak, Jisun An

Research Collection School Of Computing and Information Systems

Framing is an indispensable narrative device for news media because even the same facts may lead to conflicting understandings if deliberate framing is employed. Therefore, identifying media framing is a crucial step to understanding how news media influence the public. Framing is, however, difficult to operationalize and detect, and thus traditional media framing studies had to rely on manual annotation, which is challenging to scale up to massive news datasets. Here, by developing a media frame classifier that achieves state-of-the-art performance, we systematically analyze the media frames of 1.5 million New York Times articles published from 2000 to 2017. By …

A Framework For Incorporating Benefits From Urban Forests Into Planning For Livable Cities: A Case Study Of Forest Park, Carole Hardy

Environmental Science and Management Professional Master's Project Reports

Urban forests provide an escape from the noise and chaos of cities. Other services can be overlooked and under-valued. Urban forests cool and filter the air, sequester carbon, filter water removing toxins and sediments from urban runoff, provide habitat for wildlife and improve human health and well-being. Commonly urban forests in the United States (US) lack funds for restoration and research because there is lack of understanding of the need to actively manage what are perceived as wild lands. Generally urban forests are highly disturbed and novel ecosystems that require ongoing active management to remove invasive species, replant native species …

Device–To-Device Association Algorithm For Optimal Neighbour Selection And Channel Sharing In 5g Cellular Networks, Chiza Christophe, Omar Hamad, Libe Massawe, Abdi Abdalla

Tanzania Journal of Science

The integration of device-to-device (D2D) communication in 5G cellular networks has generated the possibility of multiple transmission modes in a single cell. This has motivated scholars to investigate different mode selection and D2D association algorithms that guarantee the selection of proper transmission mode. However, the complexity of algorithms and tractability of devices in the cell are still remarkably challenging. This paper, therefore, presents a utility based D2D association algorithm that ensures optimal neighbour selection by using numerical linear algebra to minimize computational complexity. Simulation results show that the minimum utility based D2D association increases the expected values of attached devices …

Influences Of The Timing Of Extreme Precipitation On Floods In Poyang Lake, China, Xianghu Li, Qi Hu, Rong Wang, Dan Zhang, Qi Zhang

School of Natural Resources: Faculty Publications

Changes in the timing of extreme precipitation have important ramifications for public safety and storm water management, but it has not received much attention in relation to flooding. This study analyzed the changes in the timing of extreme precipitation in the Poyang Lake basin and projected its future changes for the period 2020–2099. The study also quantified the influences of changes in the timing of peak flows on lake floods based on a hydrodynamic model. The results showed that peak rainfall in the Poyang Lake basin had occurred on later dates during the period 1960–2012, and it is this change …

Session 4: Atlanta Beltline, Art Lansing, Rob Turner, Jim Langford, Kristen Lohse, Claire Martini

SITIE Symposiums

ABSTRACT: What Would it Take to Connect All of Greater Seattle’s Neighborhoods with Walking and Biking Trails?

Major U.S. cities have endeavored, independently of each other, over the past several decades to create greenway systems connecting residents and visitors with neighborhoods and attractions, increasing opportunities for walking and biking and reducing their reliance on vehicular traffic. Atlanta’s BeltLine--a twenty-two-mile loop of historic railroad right-of-ways encircling the city’s downtown and midtown areas, seeks to reinvent the city if transformed into a green corridor—is perhaps one of the best examples of how a Seattle Greenway might be accomplished (although Atlanta’s concerted …

Intelligent Acp Based Experimental Approach, Bin Chen, Xiaogang Qiu, Yiping Wang

Journal of System Simulation

Abstract: As an approach to solve the problems in complex system research, ACP (Artificial Society, Computational Experiments, Parallel Execution) has played an important role in research fields such as public safety. With the development of information technologies such as big data, intelligent learning, game play theory, an intelligent ACP based experimental approach was proposed to solve the kernel problems in current complex system research. The possibility analysis of the approach in public safety, biological threats and joint combat experiments was illustrated. The applications including evacuation, network opinion and chemical industrial park security of the approach in safety science …

On The Distribution Of Inter-Arrival Times Of 911 Emergency Responseprocess Events, Blake Cameron Moss

Theses and Dissertations

The 911 emergency response process is a core component of the emergency services critical infrastructure sector in the United States. Modeling and simulation of a complex stochastic system like the 911 response process enables policy makers and stakeholders to better understand, identify, and mitigate the impact of attacks/disasters affecting the 911 system. Modeling the 911 response process as a series of queue sub-systems will enable analysis into how CI failures impact the different phases of the 911 response process. Before such a model can be constructed, the probability distributions of the inter-arrivals of events into these various sub-systems needs to …

Border Security And Immigration Policy: The Fight Against Terrorism, Caroline Klenck

Butler Journal of Undergraduate Research

No abstract provided.

College Of Engineering Senior Design Competition Spring 2020, University Of Nevada, Las Vegas

Fred and Harriet Cox Senior Design Competition Projects

Part of every UNLV engineering student’s academic experience, the senior design project stimulates engineering innovation and entrepreneurship. Each student in their senior year chooses, plans, designs, and prototypes a product in this required element of the curriculum. A capstone to the student’s educational career, the senior design project encourages the student to use everything learned in the engineering program to create a practical, real world solution to an engineering challenge. The senior design competition helps focus the senior students in increasing the quality and potential for commercial application for their design projects. Judges from local industry evaluate the projects on …

Crisis Communication And Executive Leadership: Ethical Shortcomings In Government, Daniel Davidoff

School of Professional Studies

This research thesis project is an analysis of how and why governments fail in their attempts at crisis communication. The hypotheses tested are: there exists a negative correlation between unethical leadership and successful crisis communication practices. And governments are more likely to experience these failures due to ethical disconnects in modern politics. Research includes a review of relevant academic literature regarding crisis communication theory, as well as the ethical framework that can be applied to that theory. Cases considered are Hurricane Katrina, the choking death of Eric Garner, and the COVID-19 global pandemic. The research project concludes with a recommendation …

Progression Magazine, 2020 Spring/Summer, Coastal Carolina University

Progression Magazine

Magazine of the College of Science at Coastal Carolina University.

Evaluation Of Neutron Skyshine Contributions During Injection At An Electron Synchrotron Facility Using Fluka, Andrew D. Hastings

LSU Master's Theses

The Center for Advanced Microstructures and Devices (CAMD) is a 1.5 giga-electron volt (GeV) electron synchrotron research facility under the jurisdiction of Louisiana State University (LSU). When originally constructed in 1992, CAMD was surrounded by pasture and woodland. Over the past several years, urban development of the area has found CAMD bracketed by a shopping center, apartment complex, and business offices. These developments raised concerns amongst the CAMD radiation safety personnel regarding an increased potential for public exposure to radiation. To ensure compliance with the annual public effective dose equivalent limit of 1 milli-sievert (mSv), the radiation monitoring program was …

Csci 49378: Introduction To Distributed System And Cloudcomputing: Syllabus, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus: for CSCI 49378: Introduction to Distributed Systems and Cloud Computing (Spring 2020)