Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu

Dissertations, Theses, and Capstone Projects

This dissertation discusses the mobility politics of container shipping and argues that technological development, political-economic order, and social infrastructure co-produce one another. Containerization, the use of standardized containers to carry cargo across modes of transportation that is said to have revolutionized and globalized international trade since the late 1950s, has served to expand and extend the power of international coalitions of states and corporations to control the movements of commodities (shipments) and labor (seafarers). The advent and development of containerization was driven by a sociotechnical imaginary and international social contract of seamless shipping and cargo flows. In practice, this liberal, …

Alice In Cyberspace 2024, Stanley Mierzwa

Center for Cybersecurity

‘Alice in Cyberspace’ Conference Nurtures Women’s Interest, Representation in Cybersecurity

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.

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.

Planning Innovation For Implementing Modular Prefabricated Construction In Housing Development In Indonesia Using A Risk-Based Iso 56002:2019 Approach To Improve Project Performance, Deansa Agya Rahman, Yusuf Latief

Smart City

The development of housing in Indonesia, growing rapidly due to urbanization and population growth, faces challenges in terms of land, labor, and housing backlog. Despite being innovative, modular prefabrication methods are limited by unattractive designs and high costs, slowing down construction, harming the productivity of construction companies, and hindering the growth of the national construction sector. These challenges are prevalent in various countries and are influenced by low knowledge, conservative mindsets, and inhibiting regulations. In Indonesia, additional issues include a lack of mastery of modular prefabrication methods and awareness of long-term benefits. This research identified innovative risk-based applications of modular …

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, 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, 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, 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, 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 …

Spatio-Heterogeneity Risk Assessment From Microplastic Contaminations In Water And Sediment Of The Inner Gulf Of Thailand, Sarayut Suanluang

Chulalongkorn University Theses and Dissertations (Chula ETD)

The inner Gulf of Thailand, a shallow semi-enclosed marine basin, plays a vital economic and ecological role for Thailand, yet faces increasing threats from microplastic (MP) pollution driven by urbanization, industrial and agriculture developments, and riverine discharges. This study aimed to assess the spatial and vertical distributions, polymer characteristics, and ecological risks associated with MP contamination in water columns and surface sediments throughout the inner Gulf. Sampling was conducted at 13 stations, with water collected from surface, mid-depth, and bottom layers, and sediment samples taken from corresponding surface sediments. MPs were analyzed for abundance, size, shape, color, and polymer composition …

Stakeholder Information Interdependence Mapping For Area-Business Continuity Management: A Case Study Of Flood In Industrial Areas In Thailand, Penpitcha Arayachookiat

Chulalongkorn University Theses and Dissertations (Chula ETD)

The great flood of 2011 in Thailand significantly disrupted supply chains and caused substantial economic damage. The concept of Area-Business Continuity Management (Area-BCM) was developed. This concept aims to enable vulnerable areas to maintain operations during crises. This research focuses on understanding the information interdependence among stakeholders involved in Area-BCM. Its objective is to develop an information interdependence map for Area-BCM, using a case study of flood events in three industrial areas in Phra Nakhon Si Ayutthaya Province. The study employed a qualitative research approach, collecting and analyzing data through in-depth interviews with various stakeholders. The data analyzed was then …

Development Of A Forest Fire Detection Device Based On Agent-Based Simulation, Teerapat Tappanom

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study had three main objectives: to identify the factors influencing forest fire spread, to design and develop a forest fire spread model, and to design and develop a forest fire detection device. The researcher utilized scatter plots, correlation analysis, and multiple linear regression analysis based on climatic data collected from the Chiang Mai Meteorological Station between 1998 and 2021 to investigate the parameters affecting fire spread. A forest fire spread model was developed using an Agent-Based Model (ABM) in AnyLogic 8.8.3 Personal Learning Edition to estimate the burned area under different scenarios with wind directions set to the north …

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 …

Assessing Past Airworthiness Directives And How Safety Management Systems May Benefit Aviation Product Design And Manufacturing, Damon Lercel, Manoj Patankar, Richard Steckel

Journal of Aviation/Aerospace Education & Research

The European Union Aviation Safety Agency (EASA) continues to promulgate Safety Management Systems (SMS) across aviation organizations when it recently issued SMS requirements for EASA certificated Part 145 maintenance, repair and overhaul (MRO) organizations and Part 21 Design & Manufacturing (D&M) organizations. Currently, the Federal Aviation Administration (FAA) has no such rule in place for these U.S.-based organizations, which may challenge those doing business in countries where EASA policies apply. Given that a majority of the United States’ D&M and MRO population is made up of smaller organizations, it is likely a U.S. SMS regulation will require justification of the …

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 …

Health Impact Assessment From Fine Particulate Matter Pm10 And Pm2.5 In Thailand, Phawichsak Prapassornpitaya

Chulalongkorn University Theses and Dissertations (Chula ETD)

The rapid urbanization and industrial sector have caused significant air quality problems. In particular, the concentration of fine particulate matter (PM10,PM2.5) is an assessment of the impact of fine particulate matter. Health The main objective of this study was to compare PM10 and PM2.5 levels and temporal trends from 2015 to 2019, and to develop a model to forecast particulate matter concentrations using multiple linear regression analysis. Multiple Linear Regression (MLR) to assess the association between particulate matter exposure and daily hospital visit for respiratory diseases. (ICD-10: J00-J99) and identify vulnerable populations. In the research, PM10 and PM2.5 air quality …

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, …

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 …

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 …