Engineering Commons^™

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 …

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 …

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 …

A Gaussian Process Regression-Based Denoising Method For Transient Electromagnetic Signals, Wang Peng, Shi Jiaxing, Lu Kai, Hu Jinru, Wen Guangyuan, Zhai Haojie

Coal Geology & Exploration

Objective The transient electromagnetic (TEM) method serves as a primary geophysical technique for groundwater detection in coalfields at present, with the detection results directly influencing the implementation of water hazard prevention and control in coal mines. Since it is difficult to avoid electromagnetic interference sources such as power lines during data acquisition, TEM signals are prone to be contaminated by electromagnetic noise. Given that primary denoising techniques such as wavelet transform and empirical mode decomposition (EMD) are yet to be further improved, this study developed a novel Gaussian process regression (GPR)-based denoising method for TEM signals. Methods First, time alignment …

Ainet: Integrating Mamba And Cbam For Enhanced Camouflage Object Detection, Henry O. Velesaca, P. Andrea Mero, Abel A. Reyes-Angulo, Angel D. Sappa

Michigan Tech Publications

This paper introduces AINet, a novel deep learning architecture designed for detecting camouflaged objects in complex and diverse environments. The objective of this work is to design an end-to-end camouflaged object detection architecture that simultaneously captures long-range dependencies and refines subtle camouflage cues, improving segmentation accuracy and boundary delineation across both standard COD benchmarks and real-world agricultural scenarios. AINet leverages the strengths of Mamba, an efficient sequential state model for capturing long-range dependencies, and the Convolutional Block Attention Module (CBAM) for feature refinement through attention mechanisms. Detecting camouflaged objects is a significant challenge across a wide range of real-world applications, …

Synergistic Breaking Of Composite Key Strata And Energy Evolution Of The Overburden Under Mining Disturbances, Wu Boqiang, Wang Xiaodong, Zhu Shibin, Xu Ganggang, Zhang Yuehong

Coal Geology & Exploration

Objective This study aims to explore the synergistic breaking responses and energy evolution mechanisms of composite key strata under mining disturbances. These efforts will provide robust theoretical support for the prevention and control of disaster-causing accidents in the surrounding rocks of coal seams and hold great significance for ensuring safe mining operations underground. Methods The breaking and instability characteristics of composite key strata under mining disturbances were analyzed by integrating physical simulation using similar materials, numerical calculation, and theoretical analysis. Accordingly, the accumulation and release patterns of strain energy and gravitational potential energy in the overburden were investigated. Finally, the …

Post-Fire Inspection, Material Testing, Repair, And Field Load Testing Of A Full-Scale Concrete Box Girder Bridge: Delta Bridge Case Study, Ahmed S. Eisa, Hilal Hassan, Mohamed A. Badran, Ayman El-Zohairy

Faculty Publications

Bridges are critical components of transportation networks, and fire accidents can significantly impair their structural integrity, leading to safety risks and major economic losses. This study presents a comprehensive inspection, materials testing, repair, and field load testing program for a full-scale concrete box girder bridge (Delta Bridge, Alexandria, Egypt) following a fire exposure on two spans. A total of 28 concrete core samples were extracted and tested, revealing average compressive strengths of 48.50 MPa (slab), 53.90 MPa (web), and 45.88 MPa (columns), representing moderate reductions of approximately 8.5%, 7.9%, and 10.8%, respectively, relative to the original in situ concrete strength …

Mechanism And Prevention Of Rockburst In Deep Asymmetric Goaf Areas Coal Seam Main Roadway, Lu Xihui, Zhao Weiwei, Hao Yinghao, Cao Anye, Su Shijie, Lyu Guowei, Bai Gang

Coal Geology & Exploration

Objective With an increase in the utilization of main roadways in coal seams, rockburst have occurred increasingly more frequently in these main roadways. Investigating the mechanisms behind these rockburst under specific conditions, as well as differentiated prevention and control measures, holds great significance for the safe extraction of deep coal resources.Methods This study investigated the main roadways at risk of strong rockburst within a coal mine in Inner Mongolia. By integrating a range of methods, including field measurement, theoretical analysis, and FLAC3D-based numerical simulation, this study examined the evolutionary patterns of both the surrounding rock stress and the overburden …

Sedimentary Evidence For The Connection Between The Southern Margin Of The Ordos Basin And The Paleotethys Ocean During The Permian To Early Triassic, Li Zonglin, Shi Yongsheng, Li Wenhou, Chen Long, Sun Jiaopeng

Coal Geology & Exploration

Objective Understanding the Permian-Early Triassic sedimentary environments along the southern margin of the Ordos Basin (also referred to as the SMOB) and their tectono-sedimentary responses to the Paleotethys Ocean plays a key role in determining the paleogeographic evolution and energy resource potential of the southern margin of the North China Craton. Methods This study investigated the Qinling Orogenic Belt (QOB) and the SMOB. Through systematic sedimentological examination based on drilling data and outcrop sections, along with a systematic review of existing paleontological findings, this study re-determined the Permian-Early Triassic tectono-paleogeographic frameworks along the SMOB. Furthermore, this study explored the paleogeography …

Characteristics And Mechanisms Of Guar Gum Degradation By Indigenous Bacteria In Coal Seams, Li Bing, Guo Hongyu, Zhou Xiao, Wang Haichao, Jian Kuo, Chen Zhaoying, Zhang Bin

Coal Geology & Exploration

Background Hydraulic fracturing serves as a stimulation technique extensively used in the commercial development of coalbed methane (CBM), in which guar gum is commonly used as a fracturing fluid thickener. However, under the low-temperature conditions of coal reservoirs, conventional chemical gel-breaking methods often suffer from incomplete gel breaking and high residue content, resulting in formation damage and a decrease in the production efficiency of CBM wells. Methods Using indigenous bacteria in coal seams as functional strains, this study conducted microbial gel-breaking experiments. It systematically investigated the characteristics of guar gum biodegradation by these bacteria and determined the dominant microbial taxa …

A Method For Diffracted Wave Separation And Imaging Based On The Gwa-Vmd, Lin Peng, Liu Yulin, Peng Suping, Cui Xiaoqin, Guo Changbo, Yang Jie

Coal Geology & Exploration

Background Small-scale discontinuous geobodies such as faults, collapse columns, and pinch-out points are widely present in underground spaces. They are closely associated with the safe production and development of underground resources such as coals, oil, and gas. As the wave field responses of small-scale discontinuous geobodies, diffracted waves can overcome the shortcomings of traditional reflected wave imaging, being capable of accurately identifying and localizing small-scale geobodies. Objective and Method This study aims to achieve diffracted wave imaging of discontinuous geobodies. Based on the differences in kinematic and dynamic characteristics between reflected and diffracted waves, this study leveraged the precise self-adaptive …

A Reflected Radio Wave-Based Exploration Method For Goaves In Closed/Abandoned Mines And Its Application, Pang Yao, Wu Rongxin, Wang Jinguo, Hu Ze'an

Coal Geology & Exploration

Objective and Method The redevelopment and reutilization of closed/abandoned mines hold great research significance and practical production value due to their substantial number. In China, the secondary development and utilization of energy and spatial resources in such mines started late, rendering foundational theories and key technologies relatively underdeveloped. To investigate the developmental characteristics of underground spaces within goaves in closed/abandoned mines, this study proposed a reflected radio wave-based exploration method. Specifically, an observation system with a fixed transmitter-receiver (TR) spacing was deployed in rock roadways above/below or on both sides of the mining face in a closed/abandoned mine. Then, a …

Cross-Modal Lidar-Camera Joint Calibration For Heading And Mining Face In Coal Mines, Yang Wenjuan, Ren Zhiteng, Zhang Xuhui, Du Yuyang, Li Changpeng, Zhang Chao, Xu Jie, Wan Jicheng, Lei Mengyu

Coal Geology & Exploration

Objective In underground coal mines, it is challenging to extract the features of the heading and mining face stably under insufficient illumination, significant dust interference, and sparse point clouds. This severely undermines the accuracy and robustness of camera-LiDAR joint calibration based on underground unstructured scene characteristics.Methods Targeting complex operating conditions, including fully mechanized mining face and tunneling roadways, this study developed a LiDAR-camera joint calibration method based on cross-depth feature coupling. In this method, an improved random sample consensus (RANSAC) algorithm for multi-plane fitting was designed for feature extraction. By integrating normal vector-based pre-clustering and an adaptive iteration mechanism, …

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 …

Mechanisms Behind Water Inrush Disasters Induced By Tbm Tunneling Passing Through Deeply Buried Fault Fracture Zones, Li Zhi, Dong Shuning, Shi Zhiyuan, Tong Renjian

Coal Geology & Exploration

Objectives While passing through a deeply buried water-rich fault fracture zone, a tunnel boring machine (TBM) frequently faces an extremely high risk of water inrushes, seriously restricting the engineering safety and efficiency. Methods This study aims to reveal the evolution patterns of water inrush disasters in the case where the TBM roadway tunneling passes through faults zones and propose technologies for advance prevention and control to mitigate the water inrush risk. Against the engineering background of the tunneling of a main roadway in a coal mine within a North China-type coalfield, this study established a 3D numerical model using the …

Tle-Unet-Based Image Segmentation And Feature Extraction Of Water-Cooling-Induced Complex Cracks In High-Temperature Rock Masses, Fu Tianyu, Hu Mangu, Zhang Xiaojun, Yang Xiaobin, Lyu Fu, Lyu Xiangfeng, Peng Lei

Coal Geology & Exploration

Objective and Method Water cooling-induced macroscopic surface cracks in high-temperature rock masses are characterized by fine scales, pronounced length variations, and severe class imbalance in images, posing significant challenges for image segmentation. To address these challenges, this study proposed TLE-UNet, a semantic segmentation network for rock crack images. First, through thermal treatment and uniaxial compression tests of granite specimens, crack images under varying temperatures were acquired. Then, using a self-developed Lite Edge Fusion module, high-resolution shallow features were finely aligned with deep semantic features at varying scales. Furthermore, edge detection and channel-attention mechanisms were combined to enhance crack boundary perception. …