Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control And Elephant Herding Optimization, Ehab Bayoumi

Mechanical Engineering

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Renewable Microgrid Frequency Regulation Using Active Disturbance Rejection Control and Elephant Herding Optimization

Chapter 6 - Robust Stabilization Ellipsoidal Design For Normal And Contingency Operated Power Systems Using Markov Jump, Ehab Bayoumi

Mechanical Engineering

No abstract provided.

Nanoscale Opportunities In Extracellular Matrix Mimicry, L. Andrew Lyon, Abbygail Caine, Elif Narbay, E. Daniel Cárdenas-Vásquez

Engineering Faculty Articles and Research

We present an overview of the composition, function, energetics, and dynamics of extracellular matrix and its relation to nanoscale structures and phenomena. These concepts are then related to the development of synthetic and biosynthetic materials that aim to mimic the extracellular matrix for regenerative medicine and tissue engineering technologies. Notable successes and advancements towards the goal of biomimicry are outlined, while remaining challenges and knowledge gaps towards that goal are highlighted. Finally, we frame the remaining challenges in the field in terms of nanoscience-related research opportunities that if solved, might prove to be transformative steps forward in the discipline.

Machine Learning–Driven Prediction Of Dementia From Mri And Clinical Features: A Comparative Analysis Of Ensemble And Baseline Models, Sarah Raad Hameed, Zainab Muhannad Nahid, Rawan Ahmed Abdulmahdi

AUIQ Technical Engineering Science

Early detection of dementia remains a pressing challenge in clinical neuroscience, as delayed diagnosis limits therapeutic impact and healthcare planning. Leveraging the Open Access Series of Imaging Studies (OASIS) cross-sectional dataset of 436 participants, this study developed a robust machine learning pipeline integrating sociodemographic, clinical, and neuroimaging-derived features. Preprocessing included removal of highly sparse variables (Delay), median imputation of partially missing but clinically essential measures (SES, MMSE, CDR, Educ), Winsorization of extreme values, and skewness correction. The target Clinical Dementia Rating (CDR) was binarized (0 = no dementia, ≥ 0.5 = dementia) to align with clinically actionable screening. Categorical features …

Integrating Sustainable Material Procurement In Construction Waste Management: A Systematic Review With Narrative Synthesis For The Libyan Construction Sector, Ramzi Fouzi Hamad Abdullah, Safaa N Saud Al-Humairi, Zunirah Binti Mohd Talib

Journal of Sustainable Construction Materials and Technologies

Integrating sustainable material procurement with construction waste management is essential to reduce construction and demolition waste in Libya, where current practices remain largely reactive and disposal-oriented. This narrative review aims to develop a conceptual framework linking procurement decisions to waste-generation pathways in Libyan construction projects, clarifying how proactive, sustainability-driven purchasing can serve as a primary driver of waste prevention. Using a PRISMA-guided systematic search of Web of Science, Scopus, and IEEE Xplore for 2001–2026, and a bibliometric analysis via VOSviewer, 956 high-quality studies were synthesized to map global knowledge and to expose the paucity of integrated SMP–CWM studies in developing …

Sound Insulation Performance Of Sustainable Lc3 Mortars With Barite And Waste Rubber Aggregates, Begüm Söyek Abay, Leyla Tanaçan

Journal of Sustainable Construction Materials and Technologies

This study investigates the potential of limestone calcined clay cement (LC3) as a sustainable binder for developing a single-layer composite material incorporating barite and rubber aggregates, hypothesized to achieve enhanced sound insulation performance compared to conventional multi-layered wall systems. Mortars were prepared using LC3 with 55% clinker, 30% metakaolin, 15% limestone, substituting 45% of cement clinker. Hybrid mixtures of barite and rubber aggregates (barite-to-rubber volume ratios of 2:1 and 1:2) were tested at aggregate-to-binder ratios of 2.0, 2.75, and 3.5 to evaluate their combined mass and damping effects on acoustic performance. Experiments were conducted to determine physical, mechanical, and acoustic …

From Lime To Geopolymers: Emerging Trends And Advances In Sustainable Soil Stabilization, Favour Chukwuebuka Egwu, Amin Eisazadeh

Journal of Sustainable Construction Materials and Technologies

Soil stabilization remains a critical challenge in geotechnical engineering, particularly for weak and expansive soils that compromise the safety and serviceability of infrastructure. Traditional stabilizers such as lime and cement have been widely applied; however, their limitations in terms of long-term durability, carbon footprint, and performance under aggressive environmental conditions necessitate alternative approaches. In recent years, geopolymer-based stabilizers derived from industrial by-products such as fly ash (FA), slag, and bottom ash (BA) have emerged as promising substitutes. This review critically examines the comparative performance of lime and geopolymer stabilization with respect to strength development, durability, compressibility, environmental impact, and economic …

Investigating The Behavior Of Self-Compacting Concrete Containing Scms And Recycled Fine Aggregates, Sachin Tiwari, Mahakavi P

Journal of Sustainable Construction Materials and Technologies

This study addresses the unresolved gap in quantifying how recycled fine aggregates (RFA) and metakaolin (MK) interact synergistically in self-compacting concrete (SCC), a relationship that previous works have studied only in isolation or without mechanistic justification. Twenty-five SCC mixtures containing MK (0–25%) and RFA (0–100%) were evaluated to generate a unified understanding of fresh behaviour, strength development, pore refinement, interfacial transition zone (ITZ) characteristics, and sustainability indicators. Results show that RFA alone increases water demand and reduces strength, while MK compensates for these losses by densifying the matrix and improving ITZ bonding, as confirmed through SEM analysis. An optimum synergy …

Improving The Uv Resistance And Service Life Of Polystyrene-Based Building Materials Via Low-Concentration Metal Complex Modifiers, Dina S. Ahmed, Marwa Fadhil, Raghda Alsayed, Mohammed Kadhom, Muna Bufaroosha, Amani Husain, Thura Alyasiri, Hanan Ibraheem, Alaa A. Rashad, Bassam M. Abood, Riyadh Noaman, Ahmed Ahmed, Ruqaya Raad, Ala'a Shaker, Abeer Erfan, Hassan Hashim, Saba Hamza, Rahimi M. Yusop, Emad Yousif

AUIQ Technical Engineering Science

PS is highly susceptible to UV-induced photodegradation, which results in deterioration of its mechanical and aesthetic properties. In the present study, four novel and highly aromatic levofloxacin metal complexes, synthesized from Zn, Sn, Cu, and Ni, were investigated as low-concentration (0.5% w/w) photostabilizer additives for PS. Composite films were prepared by solution casting and subjected to accelerated UV irradiation up to 300 hours. Photostabilizing performance was systematically followed by monitoring changes in the carbonyl index via FT-IR spectroscopy, mass loss measurements, and surface morphology analyses using SEM and AFM. Results showed that all levofloxacin metal complexes had a pronounced inhibition …

Remote Sensing Of Dynamic Ground Motion Via A Moiré-Based Apparatus, Adrian Ali Moazzam, Nontawat Srisapan, Gregory Waite, Durdu Guney, Roohollah Askari

Michigan Tech Publications

Highlights: What are the main findings? A Moiré-based optical apparatus enables long-range, non-contact ground displacement measurement in hazardous environments. Controlled indoor and outdoor experiments demonstrate reliable detection of dynamic and seismic-like ground motions with sub-millimeter resolution. What are the implications of the main findings? System performance is evaluated under atmospheric turbulence and wind, revealing key limits and mitigation strategies for field deployment. The proposed approach provides a low-cost, scalable complement to traditional seismic and geodetic monitoring techniques. Ground-based remote sensing of seismic and geophysical displacements remains a major challenge due to environmental hazards, signal attenuation, and practical deployment limitations of …

Utah’S Waste Glass Makes Concrete Stronger And Improves Durability, Rosemary Yahne

Research on Capitol Hill

Utah landfills receive thousands of tons of waste glass annually while our concrete industry relies on cement, one of the world's largest sources of CO₂ emissions.

We discovered that finely ground recycled glass can replace up to 30% of cement in concrete and improve performance.

This research tests whether Utah's waste-recycled glass can create stronger, more durable concrete for our roads, bridges, and buildings.

Nanoparticles May Improve How Antiviral Compounds Are Delivered For Herpes Virus 1, Emilia Huff

Research on Capitol Hill

HSV-1, a strain of herpes, infects the majority of adults in the US and has been linked to neurological damage.

Discovery Of Dynamical Structures Mapping Chaotic Transport Pathways In The Earth–Moon Cr3bp, Tyler J. Kapolka, Christina E. Paljug, Robert A. Bettinger, Rachel Oliver, Bruce A. Cox, Jeremiah A. Specht

Faculty Publications

Chaos; Deterministic chaos; Earth–Moon system; Poincaré map; Quasi-chaotic; Surface of section /// For the Circular Restricted 3-Body Problem (CR3BP), the topologies present within a Poincaré map enable the extraction of useful information regarding periodic, quasi-periodic, and chaotic trajectory behavior. Aside from the prominent topologies that follow distinct concentric patterns around fixed points, indicative of the periodic and quasi-periodic motion that is often the central focus of CR3BP research, there are also many “dusty” regions on the Poincaré map that appear random without an apparent structure and are indicative of chaotic motion. This paper, for the first time in literature, identifies …

Rapid Single-Cell Measurement Of Transient Transmembrane Water Flow Under Osmotic Gradient, Hong Jiang, Jinnawat Jongkhumkrong, Y. J. Chao, Qian Wang, Guiren Wang

Faculty Publications

Aquaporins (AQPs) are critical for transmembrane water transport in response to osmotic gradients, but their gating and regulatory mechanisms remain poorly understood. A central challenge is the lack of methods to measure water flow across AQPs from individual cells with the spatiotemporal resolution and sensitivity equivalent to patch-clamp recordings of ion fluxes—a limitation stemming from the electrically silent nature of water flow. Here, we present a novel optical technique—Flow-Induced Fluorescence Increase Velocimetry (FIFIV) based on Laser-Induced Fluorescence Photobleaching Anemometry (LIFPA)—that enables direct, real-time monitoring of cytoplasmic flow induced by transmembrane water transport under osmotic pressure gradients. Using small molecular fluorescent …

Mae Enewsbrief Oct-Dec 2025, Department Of Mechanical And Aerospace Engineering, Michigan Technological University

Department of Mechanical and Aerospace Engineering eNewsBrief

No abstract provided.

Machine Learning For Elderly Behavior And Risk Incident Modeling, Muhammad Tanveer Jan

Electronic Theses and Dissertations

The rapid expansion of the aging population presents critical challenges to healthcare systems, particularly in maintaining independent living, ensuring mobility safety, and optimizing emergency interventions. Traditional monitoring solutions are often fragmented, reactive, and hindered by the scarcity of data regarding rare high-risk events. This dissertation proposes a comprehensive, multi-modal machine learning framework designed to model elderly behavior and predict risk incidents across three critical environments: the home, the vehicle, and the clinical setting.

To address the fundamental challenge of class imbalance in medical and behavioral datasets—where risk events are statistically rare—this research first introduces a dual-phase data augmentation strategy. By …

Advances In Real-Time American Sign Language Recognition System Using Deep Learning Techniques For Enhanced Accessibility, Bader Alsharif

Electronic Theses and Dissertations

Advancements in technology have significantly contributed to the development of innovative tools aimed at improving communication and accessibility for individuals with hearing impairments. This dissertation explores various machine learning and deep learning techniques for recognizing American Sign Language (ASL) gestures, focusing on enhancing accessibility and bridging the communication gap between hearing-impaired and hearing individuals. Traditional machine learning models, such as Random Forest, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN), alongside deep learning architectures like AlexNet, ResNet-50, EfficientNet, ConvNeXt, and VisionTransformer, were investigated for their effectiveness. Experiments conducted on an extensive dataset of 87,000 ASL gesture images revealed exceptional recognition …

Modeling And Analysis Of Opportunistic Traffic Offloading Between Wireless Networks, Shensheng Tang

Day of Scholarship

This paper examines traffic offloading between two wireless networks operating in the same service region, where a beneficiary network can temporarily redirect calls to a benefactor network during periods of congestion. To analyze this interaction, we develop a finite level‑dependent quasi‑birth‑and‑death (LD‑QBD) model that captures the joint dynamics of admission control, opportunistic offloading, and preemption. The LD‑QBD structure enables exact computation of the steady‑state distribution using efficient sparse linear solvers. From these steady‑state probabilities, we derive key performance metrics, including blocking and drop probabilities, mean occupancy, throughput, mean system time, admission gain, and successful throughput gain. Numerical results show that …

Design And Implementation Of A Microblaze‑Based Embedded System For Programmable Led Control On An Artix‑7 Fpga, Shensheng Tang

Day of Scholarship

This paper presents the design and implementation of a MicroBlaze‑based embedded system developed using the AMD/Xilinx VIVADO Design Suite to control programmable LED patterns on an Artix‑7 FPGA development board via push‑button inputs. The MicroBlaze, a 32/64‑bit RISC Harvard‑architecture soft‑core processor, provides a flexible and configurable platform that enables integration of customized peripheral, memory, and interface components within a single FPGA. The proposed system employs two GPIO controllers—one interfacing with sixteen LEDs and the other with five push buttons—connected to the MicroBlaze processor through an AXI interconnect to support efficient on‑chip communication. LED functionality is managed through a software application …

Fpga Implementation Of A Sequence Detector Using A Finite State Machine, Shensheng Tang, Nick Zander

Day of Scholarship

This project presents the design and hardware implementation of a Finite State Machine (FSM) capable of detecting the binary sequences “1001” and “1111” with full support for overlapping occurrences. The FSM was designed to operate efficiently in real time and was implemented on an Artix‑7 FPGA development board using the AMD/Xilinx Vivado Design Suite. The system processes a serial input stream and asserts a detection signal whenever either target sequence appears, even when sequences share bits across consecutive detections. The FSM architecture, state transition logic, and verification strategy were developed and validated through simulation before being deployed to hardware. Experimental …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Transformer-Driven Intelligent Prediction For The Time-Series Features Of Mine Pressure In Fully Mechanized Mining Face, Du Feng, Chen Bo, Wang Wenqiang, Pu Hai, Du Xueming, Li Guodong, Qiao Rui, Li Xinlei, Xu Jie, Cao Yu

Coal Geology & Exploration

Objective Mine pressure prediction represents an important means for early warning and management of disasters in coal seam roofs, serving as the prerequisite and foundation for safe production in intelligent mines. However, the complex and variable conditions of fully mechanized mining face lead to significant variations in the distribution of support pressure data acquired using electro-hydraulic control systems, complicating mine pressure prediction. Methods This study developed a Transformer-based mine pressure prediction model. Specifically, missing mine pressure data were filled using linear interpolation, and the data structure of mine pressure was adjusted using a sliding window algorithm. Based on the time-series …

Mechanisms Behind Permeability Enhancement Of Coal Reservoirs Induced By Electro-Chemical Composite Energy Pulse Fracturing, Meng Bingbing, Cao Yunxing, Duan Hongfei, Zhang Xinsheng, Zhao Lijuan, Shi Bin, Yu Guofeng

Coal Geology & Exploration

Background Electro-chemical composite energy pulse fracturing (ECCE-PF) technology (i.e., the electrical explosion of metal wires igniting energetic materials) can effectively change the pore structure of coal reservoirs and enhance coal seam permeability. Elucidating the mechanisms behind the influence of this technology on both the scales of modified coal pores/fractures and methane desorption pattern can provide a theoretical basis for the wide application of this technology to coal seam permeability enhancement. Methods This study investigated coal samples from the Zhangcun Coal Mine in the Lu’an coal mining area, Shanxi Province. Using a self-developed ECCE-PF experimental platform, an experimental study was conducted …

Development Potential Of The Ucg-Eg Industry In Guizhou Province, China, Wang Lingxia, Zhou Ze, Yi Tongsheng, Qin Yong, Yang Lei, Kong Weimin

Coal Geology & Exploration

Objective and Methods This study aims to promote the sustainable development of the underground coal gasification (UCG) industry and to extend the industrial chain of syngas development and utilization. To this end, this study analyzed the UCG-electricity generation (UCG-EG) potential of Guizhou Province based on the evaluation results of resources allowing UCG and the current status of energy and electric power structures of this province. A 3D analytical principle model for UCG-EG industry scenarios in Guizhou was constructed through scenario modelling. Using this model, the prospects of the UCG industry under low, medium, high, and ultra-high scenarios were quantitatively depicted. …

Advances In Research On Enrichment Of Major Metallic Elements Within Coals In Coal-Accumulating Basins Across Xinjiang, China, Ning Shuzheng, Wang Xiaoxia, Huang Shaoqing, Yan Xiaoyun, Xu Xiaotao, Zhang Jianqiang, Zhang Li, Hou Yuehua

Coal Geology & Exploration

Background Xinjiang serves as an important coal production base in northwestern China. This region holds approximately 40% of China’s predicted coal reserves, with its coal resources primarily distributed in coal-accumulating basins such as Junggar, Yili, Tuha, and Santanghu.Methods Focusing on strategic metals (e.g., lithium, rare earth elements, zirconium, hafnium, niobium, and tantalum), hazardous metals (e.g., arsenic, mercury, and sodium), radioactive metals (e.g., uranium and thorium), and other heavy metals (e.g., iron and manganese), this study explored the enrichment mechanisms and metallogenic potential of these metallic elements in coals across representative coal-accumulating basins in Xinjiang.Advances The metallic element enrichment …

Factors Influencing Productivity And Production System Optimization For Deep Coalbed Methane In The Daning-Jixian Block, Ordos Basin, Zhao Haifeng, Jia Zhaojie, Chen Mengqi, Yang Ziyi, Wang Bin, Lin Hongliang, Yang Yanfeng

Coal Geology & Exploration

Objective Deep coalbed methane (CBM) reservoirs are characterized by ultra-low porosity, ultra-low permeability, and super saturation, rendering it impractical to copy the productivity models of shallow coalbed methane and shale gas. Furthermore, the production performance of deep CBM varies significantly across different well sections. However, the impacts of different factors on the productivity of deep CBM remain poorly understood. This study conducted a numerical simulation analysis of the productivity of deep CBM in the Daning-Jixian block along the eastern margin of the Ordos Basin based on the geological characteristics of the block, aiming to explore the impacts of various key …

Research Progress And Prospects Of High-Salinity Mine Water Storage In Deep Strata, Xue Jiankun, Wang Shuangming, Zhang Pingsong, Wang Xiaodong, Zhou Zhenfang, Wang Tiantian, Zhang Quan, Xu Shi'ang, Wang Zhizhou

Coal Geology & Exploration

Background High-salinity mine water (HSMW) is widely distributed in mining areas in western China, while its discharge and treatment pose severe challenges to both the ecosystem and resource utilization. In recent years, HSMW storage in deep strata has gained widespread attention as an environmentally friendly and resource-saving approach for mine water treatment.Advances Focusing on the general characteristics of HSMW, this study systematically reviewed the key scientific issues and technical bottlenecks associated with HSMW storage in deep strata, highlighting its principles, technical classification, and engineering application. It comprehensively elucidated the applicability boundaries of this technology, involving the core links such …

Influence Mechanisms Of Cleats On Hydraulic Fracture Propagation In Deep Coalbed Methane Reservoirs, Wang Haiyang, Lu Chen, Su Xu, Wang Yufei, Zhou Desheng

Coal Geology & Exploration

Objective Creating large-scale fracture networks through hydraulic fracturing serves as an important approach to the commercial development of deep coalbed methane (CBM) reservoirs. However, these reservoirs contain extensively developed cleats. The significantly different cementation strengths of cleat fillings lead to complex interactions between cemented cleats and major hydraulic fractures during fracture propagation. Therefore, clarifying the mechanisms underlying the influence of cemented cleats on hydraulic fracture propagation is critical to improving the simulation effects of deep CBM reservoirs. Methods Using particle flow code (PFC) discrete element method, combined with quasi-triaxial mechanical test results of the No.8 coal seam within the Yichuan …

Seepage Dynamics And Damage Characteristics Of Shaft Lining Concrete Under Hydraulic Coupling, Xue Weipei, Zhou Yaya, Cheng Hua, Yao Zhishu, Rong Chuanxin, Wang Zhongjian, Wu Hao

Coal Geology & Exploration

Objective Concrete serves as a lining material for support structures used in vertical shafts in coal mines, and its seepage performance and mechanical characteristics play a crucial role in ensuring structural safety. Furthermore, shaft lining concrete is placed under the groundwater level, subjected to a stress environment significantly different from that of surface concrete.Methods To investigate the impacts of groundwater seepage on the performance of shaft lining concrete under triaxial stress conditions, hydraulic coupling tests were conducted using a servo pressure testing machine equipped with a seepage apparatus, yielding data on permeability, elastic volumetric strain, crack volumetric strain, and …

Evolutionary Mechanisms And Control Strategies For Surrounding Rock Stability Of Inclined Shafts Under Groundwater Seepage, Zhang Cun, Zhao Xiangyu, Chen Yanhong, Ren Zhaopeng, Wu Runze

Coal Geology & Exploration

Background The western coal mining area has emerged as China’s primary coal production base. In this area, multiple ten-million-ton-scale coal mines are constructed using inclined shafts. Since inclined shafts run through multiple aquifers, many of them are subjected to shaft wall rupture and water inrushes to varying degrees.Methods This study aims to determine the impacts of groundwater seepage on the surrounding rock stability of inclined shafts. Using field survey, theoretical analysis, and numerical simulation, this study investigated the shaft wall stability of the main inclined shaft in water-rich sections in the Xiaojihan Coal Mine.Results and Conclusions Theoretical analysis …