Engineering Commons^™

Optimizing Underground Construction And Plan Management For The Mong Duong Coal Mine, Vietnam, Phi Hung Nguyen, Thi Kim Thanh Nguyen, Duc Hung Pham, Quang Phuc Le, Thai Tien Dung Vu

Journal of Sustainable Mining

Mong Duong mine’s output objective is 1.5 million tons, which requires approximately 10,000 m of tunnel excavation each year. Because of the complicated geological features, the actual work is vastly different, necessitating regular changes in design and technical approaches, as well as plans for material supply, money, and staff. On the other hand, office personnel visit the construction site to update the work status after each report, and the department head and board of directors make choices on development and execution. This process takes time because it is carried out manually. As a result, a solution to support the optimization …

Spatiotemporal Variation Of Vegetation Cover In Mining Areas Of Ysr Kadapa District, Andhra Pradesh Using Remote Sensing And Gis, Vinod Kumar Yarlanki, Prudhvi Raj Muppala, Prem Kumar Yasam, Balaji Gollapudi, Sumanth Moddu, Appanna Besta

Journal of Sustainable Mining

The spatiotemporal variation of vegetation cover in the mining areas of YSR Kadapa district, Andhra Pradesh, using Remote Sensing and GIS techniques. By focusing on the years 2014, 2018, and 2023, the analysis provides insights into changes observed in water bodies, bare soil, sparse vegetation, moderate vegetation, and dense vegetation. The results reveal dynamic trends in land cover categories, highlighting the environmental impact of mining activities in the region. A significant decline in water bodies is observed, with the area reducing from 3.48 km² in 2014 to 1.91km² in 2023. This decrease raises concerns about the potential degradation …

Assessing The Perception Gap: Mining Impacts From Community And Company Perspectives In Nigeria, Ikechukwu Mbachu

Journal of Sustainable Mining

The study intends to evaluate how mining companies and their host communities perceive the impacts of mining operations and to ascertain if there are significant differences in how both parties perceive the impacts of mining in Nigeria. The study was carried out in twelve states in Nigeria and covered the six geopolitical zones in Nigeria. Data was collected through a questionnaire and interviews carried out separately with community members and company representatives. The study investigated ten categories of mining impacts such as socioeconomic, environmental, health, physical and so on. To gauge the perceptions of the respondents on the different impact …

Effect Of Depth And Particle Size On Spontaneous Combustion Of Coal In Deep Underground Mines Of Jharia Coalfield, Debashish Mishra, D.P. Mishra, N K Mohalik, S K Ray, J K Pandey

Journal of Sustainable Mining

Since their inception, the deep mines have faced the challenges of spontaneous heating and fire. The study examines the impact of coal seam depth and particle size on the spontaneous combustion of coal. A spontaneous heating study of seven coal samples shows moisture, volatile matter, and ash do not exhibit any clear trend except for fixed carbon, which shows a direct relationship. However, crossing point temperature (CPT) and thermo-gravimetric (TG_ignition) temperature reveal an inverse relationship between spontaneous combustion and the depth of the coal seam. Five size ranges: < 106, 106–212, 212–425, 425–2000, and 0–212 µm are studied, which displayed an increase in mean specific surface area (SSA) by 87% and a decrease in …

Mineralogical Analysis And Beneficiation Assessment To Unlock The Lithium Potential In Kenticha Pegmatite Ore, Gutema Mekonen, Mulugeta Sisay, Goitom Gebreyohannes

Journal of Sustainable Mining

Lithium is utilized in various industries, especially currently Lithium-ion batteries are employed in electric vehicles and portable electronic devices as an energy source, in pharmaceutical industries, aerospace applications, glass and ceramics production, lubricants and greases, air purification systems, nuclear power, and aluminum production. The Kenticha pegmatite ore deposit in Ethiopia holds potential, and this study analyzed the mineralization of Kenticha spodumene ore and assessed its suitability for beneficiation by employing X-ray diffraction (XRD), Atomic Absorption Spectroscopy (AAS), and petrographic microscope analysis. The study determined the mineral composition, average composition, and texture of spodumene pegmatite ore for spodumene concentrate liberation. Based …

Potential Impact Of Coal Mining And Use For Electricity Generation In Brazil On Global Warming., Marisa Nascimento, Paulo Sergio Moreira Soares

Journal of Sustainable Mining

The study aims to evaluate the potential contribution of coal production for electric power generation in Brazil to greenhouse gases (GHG) emissions, applying life cycle assessment (LCA). The product system studied consists of mining, transportation of the coal to the power station, and power generation. The LCA was first developed only for coal mining in Brazil. Secondly, it was enlarged to include transportation of the coal domestically produced, the hard coal imported, and power generation (Integrated System BR). In the mining stage in Brazil (Brazilian coal), the contribution to the global warming potential was estimated at 237 kg of CO …

Determination Of The Liberation Size Of Mekaneselam Iron Ore In The Southern Wollo Zone, Northern Ethiopia: Implications For Beneficiation, Getahun Meseret, Bisrat Kebede, Belayneh Digafe

Journal of Sustainable Mining

Previous investigations in the target area primarily focused on ore genesis or the geological formations of the ore deposit, neglecting the specific beneficiation aspects associated with the ore. Due to gaps with respect to beneficiation aspects,the research aimed to determine the liberation size of the target iron-bearing ore mineral through mineralogical identification, chemical composition analysis, and examination of the particle size distribution. In this study, various methods were employed, including atomic absorption spectrometry (AAS), X-ray fluorescence (X-RF), X-ray diffraction (XRD) analysis, and sieve analysis. The chemical composition analysis of Mekaneselam iron ore revealed significant amount of 16.55–77.59 % Fe2O3, 7.31–59.02% …

Leveraging Intrinsic Properties For Classification Of Coal Seams Towards Spontaneous Combustion Proclivity And Predicting Susceptibility Using Machine Learning: Smart And Sustainable Mining Approach, Siddhartha Agarwal, Pradeep K. Gautam, Yuhao Zou, Rishabh Dwivedi, D.C. Panigrahi, C. Dagli, Atul Singh

Journal of Sustainable Mining

Mine fires and other hazards caused by spontaneous coal combustion are a pervasive and longstanding issue in Jharia coalfields, India. This study proposes a novel approach to classify coal seams based on their propensity to spontaneous combustion using the intrinsic properties of 30 coal samples from different seams. This method eliminates the need for expensive and time-consuming experimental determinations of susceptibility indices (SI) such as crossing point temperature (CPT), critical air blast (CAB), and differential thermal analysis (DTA). All clustering models, viz. hierarchical, k-means, and multidimensional scaling, aptly classify coal seams into three categories: highly risky, medium risky, and low …

A Dynamic Intuitionistic Fuzzy Group Decision Analysis For Sustainability Risk Assessment In Surface Mining Operation Projects, Mohammad Panahi Borujeni, Arash Behzadipour, Hossein Gitinavard

Journal of Sustainable Mining

With the increasing advancement of technology and science in the fields of engineering, different industries have different benefits that can help the global community in areas related to social, environmental, and economic requirements. The mining industry is one of the suitable sources of wealth production in different societies, which leads different societies to appropriate profitability. In this regard, one of the challenges facing managers and decision-makers is not related to financial challenges and risks. This research uses the dynamic intuitionistic fuzzy entropy method to compute the criteria weights, and the dynamic intuitionistic fuzzy maximizing similarity (DIF-SM) approach to compute the …

An Automated Integrated Web-Based Smart Tool For Open Stope Design, Yerkezhan Madenova, Fidelis Suorineni, Shuai Xu

Journal of Sustainable Mining

The Stability Graph is a widely used tool for the design of open stopes in underground mining. Many users of the Stability Graph still apply this design method manually. Although the manual approach has benefits, using multiple graphs and stability number computation charts for each stope surface is time-consuming, even for the experienced mining engineer. Current practice in the use of the method also limits data sharing. This paper presents a StopeSoft web-based tool for open stope stability prediction that is developed on the basis of the Stability Graph method and is available at openstope.com. StopeSoft incorporates flexibility in terms …

Lessons In Low-Tech: A Handbook For Sustainable Education, Ceri Almrott, Loann Astorino, Sébastien Bette, Benoit Delinchant, Philippe Fortemps, Ulysse Girard, Paul Hendrick, Sacha Hodencq, Fabian Lecron, Julie Lhuissier, Kévin Loesle, Luis Miguel Lopez Santiago, Santiago Perez Rodriguez, Gauthier Renard, Tatiana Reyes, Virginie Vandenbulcke, John Walsh

Other resources

LT4SUSTAIN, an Erasmus+ funded transnational project, is at the forefront of responding to the increasing awareness of environmental and climate challenges. This awareness, particularly among youth, has led to a demand for social justice. With the coordinated work among six institutions, ranging from higher education institutions to private companies and associations, LT4SUSTAIN aims to raise awareness of Lowtech across society.

LT4SUSTAIN is pioneering a unique approach to technology design. By developing “hackathons” and other “hands-on” events, we are engaging students and industry in a way that improves inclusiveness. Our objective is to equip individuals with the skills to embark on …

Yolo-Based Miner Detection Using Thermal Images In Underground Mines, Cyrus Addy, Venkata Sriram Siddhardh Nadendla, Kwame Awuah-Offei

Computer Science Faculty Research & Creative Works

Well-designed and effective in-mine robots can expedite miner self-rescue during emergencies and reduce fatalities. These in-mine robots for miner self-rescue can carry out diverse tasks such as scouting (including object detection and autonomous navigation), and payload delivery. However, robots that can effectively detect humans in a dark underground mine do not yet exist. This paper investigates challenges in the design of object detection algorithms for in-mine robots using thermal images, especially to detect people in real-time, in low-light conditions. The research team collected 500 thermal images in the Missouri University of Science & Technology Experimental Mine with the help of …

Mars Sample Return Earth Entry System Uncertainty Analysis, Michael D. Squire, Victor Cabrera, Eric Christiansen, Alan Jenkin, Kevin Hoffman, Quincy Mckown, Peter Parker, Glenn Peterson, Bruno Victorino Sarli, William P. Schonberg, Katie Steward, Brian Tulaba, Joel Williamsen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Spacecraft designers and operators use micrometeoroid and orbital debris (MMOD) risk assessments to predict the probability that an MMOD particle impact will cause a critical failure to their systems. An important aspect of MMOD risk and associated requirements is the treatment of uncertainty, often difficult to quantify, or even estimate, for many elements of MMOD risk. This paper describes recent efforts to estimate uncertainties in inputs to the MMOD risk assessment process for a portion of the planned Mars Sample Return (MSR) campaign. The uncertainty bounds developed were used to examine their effect on overall mission MMOD risk.

Can An Llm Use Work System Axioms When Describing Work Systems For Requirements Analysis?, Steven Alter

Business Analytics and Information Systems

This research-in-progress paper presents part of an ongoing project related to using LLMs for describing, analyzing, and designing work systems (including information systems). General axioms that apply to any non-trivial WS or IS might provide a path toward new tools and methods. This paper identifies 24 work system axioms that extend earlier research. They are organized in five categories: 1) system in context, 2) system operation, 3) system goals and goal attainment, 4) system uncertainties, and 5) system-related change. The axioms potentially address the challenge of helping business and IS/IT professionals understand and collaborate around systems in organization. This preliminary …

Integrating Medical Plastic Waste Pyrolysis And Circular Economy For Environmental Sustainability, Attia Attia, Mohamed Bassyouni Prof., Reem Nasser Eng., Moataz El-Bagoury Eng., Islam Shaker Eng., Yasser Elhenawy Prof., Dina Aboelela Dr.

Biochemical Engineering

A critical assessment of pyrolysis technologies and reactor designs was discussed, highlighting various reactor configurations. This study explored the influence of catalysts, temperature, heating rate, and residence time on the pyrolysis process, and addressed their effects on product distribution and composition. Safety considerations and strategies for mitigating the potential environmental impacts of pyrolysis were presented. Comparative analyses of the environmental impacts of traditional waste disposal methods versus pyrolysis-based approaches provided insights into the potential reduction of greenhouse gas emissions and other pollutants. The circular economy approach was explored in the context of medical plastic waste pyrolysis. The potential for closing …

Validating Structural Predictions Of Conjugated Macromolecules In Espaloma-Enabled Reproducible Workflows, Madilyn E. Paul, Chris D. Jones, Eric Jankowski

Boise State University Publications and Presentations

We incorporated Espaloma forcefield parameterization into MoSDeF tools for performing molecular dynamics simulations of organic molecules with HOOMD-Blue. We compared equilibrium morphologies predicted for perylene and poly-3-hexylthiophene (P3HT) with the ESP-UA forcefield in the present work against prior work using the OPLS-UA forcefield. We found that, after resolving the chemical ambiguities in molecular topologies, ESP-UA is similar to GAFF. We observed the clustering/melting phase behavior to be similar between ESP-UA and OPLS-UA, but the base energy unit of OPLS-UA was found to better connect to experimentally measured transition temperatures. Short-range ordering measured by radial distribution functions was found to be …

An Evaluation Of Reinforcement Learning Algorithms In Video Game Development, Isaac Lockwood

Masters Theses & Specialist Projects

Reinforcement Learning (RL) has demonstrated substantial promise for creating adaptive, responsive AI in complex environments such as video games. Yet despite growing academic interest, industry adoption remains limited due to computational overhead, reward-design challenges, and unpredictable AI behaviors. This thesis investigates how RL algorithms—specifically Advantage Actor-Critic (A2C), Deep Q-Network (DQN), and Proximal Policy Optimization (PPO)—can be applied to three different genres of video games. Those being first-person shooter (fps), fighting, and strategy.

Through a combination of scenario-based experimentation and comprehensive analysis, this work explores the feasibility and design considerations crucial for integrating RL-driven AI into commercial games. Key factors examined …

Dashar: An Implementation Of Augmented Reality Technology For Automotive Applications, Trevor D. Brown

Masters Theses & Specialist Projects

Since the advent of the modern automobile, manufacturers have provided means of tracking various critical data points associated with automobile operation, with the most prominent and standardized method being the instrument cluster. These data points include, but are not limited to, automobile speed, engine speed, fuel level, oil temperature, radiator (water) temperature, and battery charge. While this data is updated in real-time as the automobile is running, traditional instrument clusters cannot be modified or adjusted to the automobile driver’s needs, unless extensive after-market modifications are made. These modifications can be expensive, and require great understanding of the automobile’s assembly.

Alongside …

Integration Of Agile Approach Into The Implementation Of The Iso/Sae 21434 On Top Of The V-Model To Enable Continuous Secure-By-Design Automotive Cybersecurity Development, Pooja Patil

Master's Theses and Doctoral Dissertations

The rapid evolution of technology is revolutionizing the automotive industry, with connected and autonomous vehicles at the forefront. These vehicles rely on complex digital ecosystems to enhance safety and efficiency but are increasingly vulnerable to cybersecurity threats. Addressing these challenges requires following robust development methodologies, while complying with cybersecurity standards. This study introduces a framework that merges the widely used agile methodology practices with the ISO/SAE 21434 standard to support secure-by-design automotive product development. Traditional development approaches like the V-model provide structured and linear project phases, but they often lack the flexibility and the ability to adapt to evolving security …

Very Large Scale Robotics Path Planning With Centroidal Voronoi Tessellation, Xu (James) Gao

Theses, Dissertations and Capstones

Swarm robotics, also referred to as very large-scale robotics (VLSR), has emerged as a transformative approach for addressing complex tasks that are infeasible for single-robot systems. Applications range from environmental monitoring and disaster response to large-scale agricultural and industrial operations. However, as the number of robots in a swarm increases, so do the challenges associated with motion control, energy efficiency, and scalability. These challenges necessitate innovative solutions that balance microscopic robot behaviors with macroscopic system-level objectives.

In this thesis, we address these challenges by building upon existing research [40], which introduced novel methods for optimizing swarm robotics systems using macroscopic …

Seldm Case Study Exercise: Instructor Notes, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 1: Seldm Introduction, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 2: Seldm Results With Data And Graphs, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 2: Worksheet Student Version, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lesson 2: Worksheet Instructor Version, Lillian C. Jeznach

University Workshop Materials for the Stochastic Empirical Loading and Dilution Model (SELDM)

No abstract provided.

Lagrange Multipliers As A Metric For Early-Stage Shipboard Power System Design, Magdalen A. Barnes

Theses and Dissertations--Electrical and Computer Engineering

Integrated power systems are essential in the operation of electric ships and must function under a diverse range of conditions. In addition to routine operation, ships should be prepared to respond to challenging events that require significant amounts of power. Demanding scenarios, coupled with complex and interconnected power systems, present challenging issues. The power and energy ratings of equipment are crucial factors in the operational success of the ship; however, to meet economic constraints, balance between performance and cost must be upheld. Details regarding equipment models and specifications are typically unavailable during early-stage design. Power system modeling and simulation can …

Complex Skill Learning And Atc: Examining Stress Response And Distress Mitigation With Eeg And Ecg, Sophia J. Fischer, James C. Lue, Dana Mahmoud, Joshua Rice, Piper Winsett, Eric Anthony Day, Michael J. Wenger, Dingjing Shi, Julia Beckel, Jamie Barrett, Tammy Ho

International Symposium on Aviation Psychology - 2025

Air Traffic Control (ATC) trainees at the FAA Academy and developmentalcontrollers in the field often face dynamic and unexpected events in training,which may impact safe and effective human performance if certain vulnerabilitiesare not properly managed or mitigated. We integrate theory on self-regulatedworkplace training with a cognitive neuroscience perspective on attention touniquely examine the effects of surprise and stress on performance. Our near-termgoal is to demonstrate the viability of using physiological measures to predictperformance changes in a laboratory study of young adults learning a complexvideogame. We use a novel, event-marked and person-centric longitudinalapproach to the analysis of physiological variables to distinguish …

Review Of Fatigue Micro-Mitigations For Application In Air Traffic Control: Benefits, Challenges, And Feasibility, John Kang, Ruth E. Propper, Michael Sawyer

International Symposium on Aviation Psychology - 2025

Air traffic controllers (ATCs) are one of the primary drivers of safe and resilient operations in the National Airspace System. The FAA has implemented manylarge-scale fatigue mitigation strategies (e.g., scheduling policies, break time requirements, and time-on-position limits) to combat fatigue. Given the performance benefits related to managing fatigue, ATCs may also benefit from simple, practical fatigue interventions and that could improve job performance.This review targets ‘micro-mitigations,’ which we define as mitigations that maybe unobtrusive, can be quickly implemented, have a rapid impact, and are easy to engage. We explore the possible utility of five micro-mitigations to help minimize fatigue/improve alertness: …

Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework For Enhanced Nuclear Reactor Power Prediction, James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The accurate and efficient modeling of nuclear reactor transients is crucial for ensuring safe and optimal reactor operation. Traditional physics-based models, while valuable, can be computationally intensive and may not fully capture the complexities of real-world reactor behavior. This paper introduces a novel hybrid digital twin-focused multi-stage deep learning framework that addresses these limitations, offering a faster and more robust solution for predicting the final steady-state power of reactor transients. By leveraging a combination of feed-forward neural networks with both classification and regression stages, and training on a unique dataset that integrates real-world measurements of reactor power and controls state …

Soy-Grid Prototype Development For Erosion Control Situated In The Scholarly And Public Spheres, Kyle Butler

Honors Senior Capstones and Theses

Erosion control is crucial for preserving coastlines and stream banks, protecting shoreline properties, and maintaining the ecological balance of vulnerable environments. Coastal areas are particularly susceptible to erosion caused by wave action, storms, and human activities. Erosion can lead to land loss, habitat destruction, and increased vulnerability to flooding. Effective erosion control measures help stabilize shorelines, prevent property damage, and safeguard coastal and inland infrastructure, while also preserving the natural beauty and recreational value of these areas.