2023-2024 Annual Security And Fire Report – Sayre Campus,
2024
Southwestern Oklahoma State University
2023-2024 Annual Security And Fire Report – Sayre Campus, Southwestern Oklahoma State University
ANNUAL SECURITY & FIRE REPORTS
This is the 2023-2024 Annual Security and Fire Report of the Sayre Campus by Southwestern Oklahoma State University.
2023-2024 Annual Security And Fire Report – Weatherford Campus,
2024
Southwestern Oklahoma State University
2023-2024 Annual Security And Fire Report – Weatherford Campus, Southwestern Oklahoma State University
ANNUAL SECURITY & FIRE REPORTS
This is the 2023-2024 Annual Security and Fire Report of the Weatherford Campus by Southwestern Oklahoma State University.
Ecological Toxicology Impact From Soap Manufacture: Applications Of Carbon Footprint For Organization And Carbon Footprint Of Product,
2024
Faculty of Science
Ecological Toxicology Impact From Soap Manufacture: Applications Of Carbon Footprint For Organization And Carbon Footprint Of Product, Tanaporn Chanaphirak
Chulalongkorn University Theses and Dissertations (Chula ETD)
The assessment of greenhouse gases to identify ways to reduce global warming was of enormous importance worldwide. This study assessed the carbon footprint of an organization and the carbon footprint of products within the herbal soap manufacturing industry, following the guidelines of the Thailand Greenhouse Gas Management Organization (TGO). It also evaluated the environmental toxicity of soap production. The study found that the organization’s carbon footprint amounted to 551 tCO2 equivalent, with Scope 3 emissions being the highest at 359 tCO2 equivalent, followed by Category 1 products and services, which accounted for 208 tCO2 equivalent. Scope 1 emissions were 176 …
Developing Machine Learning And Time-Series Analysis Methods With Applications In Diverse Fields,
2024
Virginia Commonwealth University
Developing Machine Learning And Time-Series Analysis Methods With Applications In Diverse Fields, Muhammed Aljifri
Theses and Dissertations
This dissertation introduces methodologies that combine machine learning models with time-series analysis to tackle data analysis challenges in varied fields. The first study enhances the traditional cumulative sum control charts with machine learning models to leverage their predictive power for better detection of process shifts, applying this advanced control chart to monitor hospital readmission rates. The second project develops multi-layer models for predicting chemical concentrations from ultraviolet-visible spectroscopy data, specifically addressing the challenge of analyzing chemicals with a wide range of concentrations. The third study presents a new method for detecting multiple changepoints in autocorrelated ordinal time series, using the …
A Case Study Assessing The Integration Of Nuclear Safety And Security In Facilities Using A Monte Carlo Simulation Aided Analytical Hierarchy Process,
2024
Purdue University - Main Campus
A Case Study Assessing The Integration Of Nuclear Safety And Security In Facilities Using A Monte Carlo Simulation Aided Analytical Hierarchy Process, Theodore A. Thomas, Shraddha Rane, Jason Timothy Harris
International Journal of Nuclear Security
Nuclear safety and security are essential in all operations using nuclear and radioactive materials. Even though both elements are important, the evolution of these programs has not developed at the same rate. As such, their integration has been met with challenges. This study analyzed the potential for synergy across different criteria and settings when integrating nuclear safety and security. The criteria included eight points where overlap could be identified between nuclear safety and security. Three work settings—industrial, medical, and research—were evaluated. Responses were collected from nine individuals who worked with nuclear materials in various capacities and different nuclear work settings. …
Promoting Safe Use Of Amrs By Assessing Their Residual Risks And Safety-Related Functions,
2024
Polytechnique Montréal
Promoting Safe Use Of Amrs By Assessing Their Residual Risks And Safety-Related Functions, Tongzhou Zhang, Sabrina Jocelyn, Chun Hong Law, Ali Aidibe, Soumaya Yacout
Articles dans des actes de congrès
With Autonomous Mobile Robots (AMRs), the usual risks are those of collision between a worker and the AMR, or a body part trapped between the AMR and a fixed or moving obstacle. To bypass obstacles (human or otherwise), AMRs feature autonomous control systems activating safety-related functions based on machine learning or optimization algorithms. This paper proposes a roadmap to guide integrators and users on the safe implementation of two AMRs. To do so, a risk assessment of two identical AMRs was performed, using ISO 12100, in a test bed consisting of an Intelligent Cyber-Physical Systems laboratory warehouse at Polytechnique Montreal. …
The Hazard Prediction Problem,
2024
SUNY Upstate Medical University
The Hazard Prediction Problem, Mary E. Helander, Brendan Smith, Sylvia Charchut, Erika Swiatowy, Calvin Nau, Gregory Cavaretta, Timothy Schuler, Adam Schunk, Héctor Ortiz-Peña
Social Science - All Scholarship
This work formulates the hazard prediction problem while addressing the research question: Can machine learning create a model to automatically recognize patterns that correspond to hazard state conditions during a mission-critical operation? Supervised learning models were trained and tested on data observed from mission simulators, which allowed for safe observation of dynamic system states and undesirable casualty events. The prediction task was formulated as a binary classification problem, producing the probability of being in a hazard state at time t and providing situational awareness of a possible imminent loss. Several modeling architectures were investigated: neural networks, logistic regression, a support …
Silica Dust Exposure Assessment Using Job-Exposure Matrix:A Case Of Sandstone Workers In Thailand,
2024
Faculty of Science
Silica Dust Exposure Assessment Using Job-Exposure Matrix:A Case Of Sandstone Workers In Thailand, Chamaiphon Chari
Chulalongkorn University Theses and Dissertations (Chula ETD)
Respirable crystalline silica (RCS) has been classified as a human carcinogen by the International Agency for Research on Cancer (IARC). In Thailand, household sandstone workers were one of the most susceptible occupational groups to silicosis. However, a lack of current information about their work patterns and job-related exposures to respirable crystalline silica could hinder the success of tracking and surveillance programs. This study was conducted to explore working characteristics and patterns, and to evaluate the work diary data in the estimation of RCS exposure and health risk among household sandstone workers. All data were collected from a work diary record …
Transitioning To A Lower Global Warming Refrigerant, A Performance Study Of R-513a And Hfc-134a In Commercial Chillers,
2024
Missouri University of Science and Technology
Transitioning To A Lower Global Warming Refrigerant, A Performance Study Of R-513a And Hfc-134a In Commercial Chillers, Hossein Abedsoltan, Mark B. Shiflett
Chemical and Biochemical Engineering Faculty Research & Creative Works
The performance of R-513A and HFC-134a refrigerants is compared in two identical chillers operating at the University of Kansas. R-513A is a more environmentally friendly refrigerant due to its lower global warming potential that can be used as a retrofit replacement for HFC-134a in chillers. This study investigates the performance comparison of transitioning from HFC-134a to R-513A. The chillers have been in operation for two years, and cooling capacity, coefficient of performance, and other operating parameters are compared under similar cooling conditions. Cooling capacities ranged from 100 to 500 kW for both chillers. Overall, the energy consumption and coefficient of …
Collaborative Robotic Finishing Platform For Metal Part Processing Towards Industry 5.0,
2024
National Research Council Canada (NRC)
Collaborative Robotic Finishing Platform For Metal Part Processing Towards Industry 5.0, Seyedhossein Hajargarbashi, Gabriel Côté, Jonathan Boisvert, Ramy Meziane, Chen Xu, Corentin Hubert, Sabrina Jocelyn, Clément Gosselin
Articles dans des actes de congrès
Manual finishing operations in aerospace and ground transportation industries are often associated with health-and-safety-related issues such as musculoskeletal disorders, productivity loss, and challenges in workforce renewal. This work presents an innovative automated solution to address these challenges, prioritizing the ease of implementation and affordability for small and midsize enterprises (SMEs). Our proposed solution is a collaborative robotic (cobotic) finishing platform designed to eliminate labor-intensive work while keeping human operators in the loop to manage unforeseen situations. This platform aims to eliminate health risks, enhance repeatability, improve product quality, and increase productivity. This paper describes the mechanical design of the platform, …
On Uncertainty For Ill-Posed Robot Decision Problems,
2024
West Virginia University
On Uncertainty For Ill-Posed Robot Decision Problems, Jared Joseph Beard
Graduate Theses, Dissertations, and Problem Reports (ETD)
As robots adopt more real world responsibilities, they will be expected to solve more complicated problems. In some cases limited prior knowledge will result in unmodelled environmental conditions; in others, multiple users may have competing perspectives on how to frame a decision problem. Many existing frameworks, namely Markov decision processes (MDP) presuppose users have identified a specific problem with models sufficient to solve or learn a problem. If we wish to extend MDPs to novel problems or those heavily dependent on user feedback, autonomous decision makers must be able to identify limitations in how a given problem is framed and …
Bridging Evolutionary And Bayesian Optimization For Enhanced Safety Verification In Control Systems,
2024
West Virginia University
Bridging Evolutionary And Bayesian Optimization For Enhanced Safety Verification In Control Systems, Joshua M. Yancosek
Graduate Theses, Dissertations, and Problem Reports (ETD)
The rigorous safety verification of control systems in critical applications is essential, given their in creasing complexity and integration into everyday life. Simulation-based falsification approaches play a pivotal role in the safety verification of control systems, particularly within critical applications. These methods systematically explore the operational space of systems to identify configurations that result in violations of safety specifications. However, the effectiveness of traditional simulation based falsification is frequently limited by the high dimensionality of the search space and the sub stantial computational resources required for exhaustive exploration. This thesis presents Bayesian Evolutionary Approach for COuNterexample, or BEACON, a novel …
Understanding The Impacts Of Extreme Weather On The Power Transmission Infrastructure: A Machine Learning Approach To Quantifying Risks And Enhancing Grid Resilience,
2024
CUNY City College
Understanding The Impacts Of Extreme Weather On The Power Transmission Infrastructure: A Machine Learning Approach To Quantifying Risks And Enhancing Grid Resilience, Juan P. Montoya Rincon
Dissertations and Theses
This doctoral dissertation focuses on the resilience of power transmission infrastructure in tropical coastal environments, particularly in the face of extreme weather events such as hurricanes. The research is anchored on the case of the passage of Hurricane Maria in the Island of Puerto Rico in September of 2017 which caused the largest damage on the power infrastructure in US history. As such, the research investigates the interaction between extreme winds and power transmission infrastructure in complex terrain, aiming to quantify and predict power loss and damage to the infrastructure during such events. The study employs a comprehensive approach combining …
Airspace Saturation And Midair Collision Risk: A Case Study At A Class D Airport,
2024
Purdue University
Airspace Saturation And Midair Collision Risk: A Case Study At A Class D Airport, Luigi Raphael I. Dy, John H. Mott
International Journal of Aviation, Aeronautics, and Aerospace
Near midair collisions are precursor events to actual collisions and may be an indicator of risk. While previous studies have used reports of near midair collisions to relate factors such as airspace saturation to near midair collisions, the reports relied upon were generally subjective in nature. With the adoption of automatic dependent surveillance-broadcast (ADS-B), the approximate position of every equipped aircraft can be recorded. A six-month case study was performed at the Purdue University airport to relate the number of 1000-foot proximity events to airspace saturation, and whether the Class D airspace affected this relationship. Through a logistic regression analysis, …
Computational Analysis Of Vascular Aneurysms,
2024
Michigan Technological University
Computational Analysis Of Vascular Aneurysms, Seyedmostafa Rezaeitaleshmahalleh
Dissertations, Master's Theses and Master's Reports
Vascular aneurysms, such as intracranial aneurysms (IAs) and abdominal aortic aneurysms (AAAs), pose significant health risks, particularly upon rupture. Disturbed hemodynamics, characterized by swirling flow patterns, can lead to cellular and structural changes that disrupt normal physiological processes and contribute to destructive vascular remodeling. Integrating hemodynamic analysis into clinical assessments of aneurysms has become crucial, especially through patient-specific computational fluid dynamics (CFD) simulations based on medical imaging. However, the complexity of CFD tools presents challenges in model creation and post-simulation analysis, limiting their accessibility to clinicians.
This project aimed to advance aneurysm management by exploring the role of intraluminal thrombus …
Embedding Software Engineering In Mixed Methods: Computationally Enhanced Risk Communication,
2024
Montana State University
Embedding Software Engineering In Mixed Methods: Computationally Enhanced Risk Communication, Ann Marie Reinhold, Madison H. Munro, Elizabeth A. Shanahan, Ross J. Gore, Barry C. Ezell, Clemente I. Izurieta
VMASC Publications
Mixed methods research ameliorates many convergent research challenges within the contemporary sociotechnical landscape. We suggest the integration of software engineering in mixed methods studies is a critical step to address some of the remaining and persistent challenges. One such research challenge where software engineering is particularly well suited is in hazard preparedness—in particular, the creation of risk communication messages to mitigate or prevent harm. Computationally enhanced risk communication is convergent research that integrates software engineering and social science research for the benefit of protecting humans and infrastructure. To this end, we developed a mixed methods framework for the efficient construction …
Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability,
2024
German Federal Institute for Risk Assessment
Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability, Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey
Biological Sciences Faculty Publications
Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has revolutionized the field of chemical risk assessment, offering new insights into toxicity mechanisms, predictive modeling, and risk management strategies. This perspective review explores the synergistic potential of AI/ML and omics in deciphering clastogen-induced genomic instability for carcinogenic risk prediction. We provide an overview of key findings, challenges, and opportunities in integrating AI/ML and omics technologies for chemical risk assessment, …
Risk Assessment Of Microplastics Contamination In Soil And Leachate From Different Ages Of Landfill,
2024
Faculty of Science
Risk Assessment Of Microplastics Contamination In Soil And Leachate From Different Ages Of Landfill, Panuwat Koonmee
Chulalongkorn University Theses and Dissertations (Chula ETD)
Landfills were used for the disposal of waste materials, but they could contribute to microplastic (MP) pollution. MPs waste had been released in landfills into the surrounding environment, contaminating soil and leachate collection pond. Although there were many reports that MPs could generate in leachate and soil samples from the landfill, it exists many blanks for the evolution of physical and chemical characteristics of MPs with different landfill age. In order to address the question of changing in the abundances and characteristics of MPs in different ages of landfill as potential sources of contamination and the efficacy of existing landfill …
Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation,
2024
Faculty of Science
Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut
Chulalongkorn University Theses and Dissertations (Chula ETD)
Disinfection is crucial for protecting public health during wastewater reuse. Chlorination is a widely used disinfection method, but it also leads to the formation of disinfection byproducts (DBPs), which can pose environmental and health risks. Among these DBPs, haloacetonitriles (HANs), particularly dichloroacetonitrile (DCAN), are of significant concern due to their toxicity. This research investigated the relationship between microbiological and chemical risks associated with chlorination in secondary and tertiary wastewater treatment plants (WWTPs) in Bangkok. The study found that secondary wastewater (9.0-14.0 mg/L) required up to 10 times higher initial chlorine levels to achieve the same norovirus reduction levels (3-5 log …
Improving Risk Governance Strategies Via Learning: A Comparative Analysis Of Solar Radiation Modification And Gene Drives,
2024
Duke Law School
Improving Risk Governance Strategies Via Learning: A Comparative Analysis Of Solar Radiation Modification And Gene Drives, Khara Grieger, Jonathan B. Wiener, Jennifer Kuzma
Faculty Scholarship
Stratospheric aerosol injection (SAI) and gene drive organisms (GDOs) have been proposed as technological responses to complex entrenched environmental challenges. They also share several characteristics of emerging risks, including extensive uncertainties, systemic interdependencies, and risk profiles intertwined with societal contexts. This Perspective conducts a comparative analysis of the two technologies, and identifies ways in which their research and policy communities may learn from each other to inform future risk governance strategies. We find that SAI and GDOs share common features of aiming to improve or restore a public good, are characterized by numerous potential ecological, societal, and ethical risks associated …
