Dynamic Evolutionary Pattern Of Fractures In Tectonically Deformed Coal-Bearing Assemblages During Loading, Zhao Pengxiang, Liu Yingying, Li Shugang, Liu Yanqun, Liu Yunchuan, Wang Laolao, Lu Weidong

Coal Geology & Exploration

Objective The formation and evolution of fractures in tectonically deformed coals (TDCs) exert a significant influence on the occurrence of dynamic hazards to TDC-bearding combinations under mining disturbance. However, the influence patterns remain unclear. Methods Using a NanoVoxel-3000 high-resolution inspection system for multiscale integrated geotechnical scanning and analysis, this study performed uniaxial compression and CT scanning experiments on TDC-bearing combination specimens. Moreover, this study reconstructed the mesoscopic geometric structures of the specimens using the Avizo software, obtaining three-dimensional visualization models of fractures inside the specimens. Results and Conclusions During loading of a specimen studied, fractures were generated in the TDC …

A New Quantitative Assessment Model For The Joint Roughness Of Rock Masses, Chen Shijiang, Liu Hongwei, Li Tao, Yue Hu, Liu Jiangang, Yu Jiang

Coal Geology & Exploration

Objective The joint roughness of rock masses significantly affects their mechanical properties such as shear strength and permeability. Therefore, its quantitative characterization is significant for the engineering practices of jointed rock masses. Current research achievements indicate that among statistical parameters, the root mean square (RMS) of first derivatives (Z₂) exhibits the strongest correlation with the joint roughness of rock masses, serving as a vital method for characterizing joint roughness. However, the characterization using this parameter is severely affected by the sampling interval (SI). Methods Based on a systematic analysis of the drawbacks of Z₂ in characterizing …

Zonal Prediction Of The Heights Of Water-Conducting Fracture Zones Under Varying Overburden Types In North China-Type Coalfields, Xu Dongjing, Zhang Ruiqing, Gao Weifu, Jiang Haonan, Zhu Haifeng, Li Ye, Xia Zhicun

Coal Geology & Exploration

Background The gradual increase in the exploitation depth and intensity of coal resources in the North China-type coalfields has caused problems such as overburden movement and damage, as well as fracture evolution. These hot topics have attracted considerable attention. Methods A total of 117 sets of measured data on the heights of water-conducting fracture zones in the North China-type coalfields were collected, consisting of 17 sets from hard overburden, 42 sets from moderately hard overburden, and 58 sets from soft overburden. Using these data, this study explored the effects of varying mining heights, mining depths, and lengths of the mining …

A Method For Time Difference Correction For Real-Time Seismic-While-Mining Data, Jin Dan

Coal Geology & Exploration

Objective Seismic-while-mining (SWM) data are usually acquired using multiple stations, each of which is equipped with multiple data acquisition traces. However, the SWM data received by these stations exhibit time differences due to the lack of GPS signals underground and the fact that current network synchronization technologies are confined by network delays underground. Given that the time synchronization accuracy directly affects the quality of data processing and imaging, the time difference correction of real-time SWM data is essential for accurate SWM detection. Methods Since current high-precision timing systems on the surface suffer from signal loss underground, this study proposed an …

Role Of Eye-Tracking Technology And Software Algorithms In Enhancing Adhd Detection And Diagnosis: A Systematic Literature Review, Lauren E. Perkins

Honors College Theses

This systematic literature review explores the role of eye-tracking technology and software algorithms in enhancing the detection and diagnosis of ADHD. ADHD, a neurodevelopmental disorder affecting both children and adults, is traditionally diagnosed through behavioral assessments, which may lack objectivity. Recent studies suggest that eye-tracking, specifically focusing on saccades, fixations, and blink rates, offers the potential for more accurate and objective measures of ADHD. The review examines clinical trials, observational studies, and machine learning research to assess the correlation between ADHD and eye movement patterns. Results indicate that individuals with ADHD exhibit distinct eye movement patterns, which can be quantified …

Comprehensive Sensing Analysis Of Ofdm Waveform For Future Jrc And Radar Systems, Mehmet Yazgan

USF Tampa Graduate Theses and Dissertations

In today’s interconnected world, sensing is one of the indispensable parts of wireless systems.The need to optimize and diversify the use of the radio frequency spectrum has reached unprecedented importance. Cutting-edge applications, including autonomous technologies, intelligent urban systems, and advanced monitoring, require solutions that can effectively merge communication and sensing functions within limited bandwidth. Orthogonal frequency division multiplexing (OFDM) has emerged as a leading contender in this field due to its superior ability to maximize spectral usage, resilience to multipath interference, and versatile signal configuration options. Reconsidering the use of the OFDM waveform for sensing purposes is undeniably essential due …

Influencing Mechanisms Of Microwave Radiation Duration On The Efficiency Of Methane Adsorption In Coals, Hu Yiliang, Bao Yuan, Meng Jiahao, Chen Xueru, Shan Tuo

Coal Geology & Exploration

Objective Microwave radiation duration represents a critical factor in enhancing coalbed methane (CBM) recovery using microwave-aided methods. However, the influencing mechanism of microwave radiation duration on the efficiency of methane adsorption in coal seams remains unclear. This necessitates delving into the specific effects of microwave radiation duration on the adsorption efficiency and unveiling their intrinsic constraints. Methods This study investigated the No.2 coal seam in the Huangling mining area. The coal samples were irradiated for 0‒18 min using 700 W microwaves. Using experiments and analyses including isothermal adsorption, low-temperature liquid N2 adsorption, and Fourier transform infrared spectroscopy (FTIR), this study …

Assessment Indicator System For Siting Of Geologic Co2 Sequestration In Low-Porosity And Low-Permeability Saline Aquifers: A Case Study Of The Ordos Basin, Mou Yu, Wang Haofan, Shaanxi Key Laboratory For Carbon Neutral Technology, Carbon Neutrality College (Yulin), Northwest University, Xi’An 710069, China Xuejun, Ma Jinfeng, Luo Shaocheng, Li Lin, Ding Zhao

Coal Geology & Exploration

Objective CO₂ injection and geologic sequestration in deep saline aquifers as underground spatial resources represents an important means of achieving the targets of greenhouse gas emission reduction and carbon neutrality. Current assessments of the siting and potential for geologic CO₂ sequestration in saline aquifers focus primarily on the macroscopic basin and regional scales, with the assessment indicator system scarcely accounting for the suitability of low-porosity and low-permeability strata. Methods Using data from 192 wells in the Yusheng area, Ordos Basin, this study conducted the division and correlation of intervals bearing no hydrocarbon, carried out lithologic and physical interpretations …

Optimization And Application Of Sand Bailing Technology For Coalbed Methane Horizontal Wells, Zhang Fei, Wang Yibing, Cheng Lu, Mei Wenbo, Yang Qi, Shen Wenjie, Cao Chao, Lai Peng, Liao Zhengkai, Xian Bao'an, Bi Yansen

Coal Geology & Exploration

Objective and Methods Coalbed methane (CBM) horizontal wells face challenges such as sand accumulation in completion strings, pipe wall scaling, and pump sticking, leading to declined CBM production or shutdown of these wells. This severely restricts continuous, stable CBM production. Removing pulverized coals and sands from wellbores through mechanical sand bailing is recognized as an effective technique to restore and improve the CBM production of horizontal wells. To address challenges such as poor string sealing performance, low efficiency, and sand consolidation in mechanical sand bailing, this study created optimized tools including claw-shaped scraper tips, sand-breaking drill bits, eccentric flaps, and …

Modeling The Pollution From Latrines In A Low- And Middle-Income Country Setting, Christopher Nenninger

USF Tampa Graduate Theses and Dissertations

Latrines are an important sanitation infrastructure that are critical to the United Nations’ effort to end open defecation and achieve the target regarding safely managed sanitation outlined in Sustainable Development Goal #6. This global effort has led to 40,000,000 new users being introduced to improved latrines each year, and this number is expected to increase as the world’s population grows. One of the drawbacks related to these new latrine additions is the potential increase in pollution from hydraulically connected latrine pits to shallow groundwater. This is especially problematic in low- and middle-income countries (LMICs), where communities are more likely to …

Deep Learning Applications For Predictive Modeling In Cancer Therapy And Enzyme Encoding, Mengmeng Liu

LSU Doctoral Dissertations

Predictive modeling has revolutionized computational biology and molecular bioinformatics, enabling significant advancements in cancer therapy and functional enzyme characterization. Despite considerable progress, significant challenges remain in accurately predicting combinational cancer therapies and systematically representing enzyme functions for computational applications. Traditional methods struggle with capturing the complex interactions between drugs and biological networks, as well as representing hierarchical relationships within enzyme classifications. This dissertation addresses these limitations by developing advanced deep learning models tailored to enhance predictive performance in both domains.

First, a data augmentation strategy is introduced to improve anticancer drug synergy prediction by generating pharmacologically relevant drug pairs based …

Investigation Of Innovative Heat Pipes / Fins System For Diesel Engine Cooling, Mohammad Shafiq Anees

Thesis/ Dissertation Defenses

Engine cooling is considered one of the most important factors that affect their efficiency and therefore their performance, so a new cooling method is proposed using both heat pipes and fins to improve the cooling quality of internal combustion engines and shall be examined theoretically and experimentally. A test rig has been designed and built using a specimen material with similar properties to the real engine materials with similar dimensions as the engine cylinder head / liner thickness. In order to make the effectiveness of this research, a comparison between the cooling by fins alone and cooling the engine by …

Improving The Stability And Selectivity Of Methane Dry Reforming Catalysis Through Active Site And Process Tuning, Jonathan Lucas

LSU Doctoral Dissertations

Dry reforming of methane (DRM) is a potential industrial solution to greenhouse emissions whereby CH₄ and CO₂ are reacted on a transition metal catalyst to produce syngas, a feed stock for higher value chemical products. Ni can be used as the catalyst for DRM replacing the high cost and low abundance noble metals (Pt, Pd, Rh). However, the harsh process conditions of DRM (T > 700°C, P of 1-10 bar) readily deactivate Ni through coking and sintering. Ni supported on reducible oxides, specifically CeO₂ and CeO₂-ZrO₂ (CZO), have been widely studied to combat the rapid …

3d Printed Living Hinges In Deployable Origami Structures, Davis Wing, Robert J. Lang, Spencer Magleby, Larry Howell

Student Works

Origami-based geometries are often difficult to prototype and construct. Although methods exist for creating surrogate folds in many materials, doing so often requires multiple manufacturing steps. While engineers studying foldable models can use single-material additive manufacturing to construct living hinges in their models, current techniques are limited. We present an approach for generating living hinges in stowed, deployable mechanisms using single-material 3D printing. This approach enables new models to be constructed with accurate geometry and kinematics in a single print and with no further manufacturing necessary beyond an initial folding step. Additionally, by printing deployable structures in their stowed form, …

Green Building Information Modeling Framework For Sustainable Residential Development In Egypt, Mohamed Nabawy

Civil Engineering

Rapid urbanization and environmental challenges necessitate innovative construction solutions in Egypt. This study presents a 6D Green Building Information Modeling (BIM) framework designed to enhance sustainability, reduce costs, and optimize construction processes. Integrating energy consumption, carbon footprint, and lifecycle performance metrics, the framework addresses critical gaps in Egypt’s construction sector, including limited technical expertise, high costs, and regulatory challenges. A mixed-methods approach was employed, combining global case study analysis, 3D modeling using Autodesk Revit, energy simulations with Autodesk Insight, and project scheduling through Primavera P6. Expert interviews with industry professionals further refined and validated the framework, ensuring its practicality and …

Green Building Information Modeling Framework For Sustainable Residential Development In Egypt, Mohamed Ahmed Nabawy Dr., Ahmed Gouda Mohamed, Ahmed Osama Daoud Dr.

Civil Engineering

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Green Building Information Modeling Framework for Sustainable Residential Development in Egypt

by Mohamed Nabawy *, Ahmed Gouda Mohamed , Israa Awad and Ahmed Osama Daoud * Construction Engineering and Management Programme, Civil Engineering Department, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City, Cairo 11837, Egypt * Authors to whom correspondence should be addressed. Buildings 2025, 15(7), 1035; https://doi.org/10.3390/buildings15071035 Submission received: 20 January 2025 / Revised: 23 February 2025 / Accepted: 27 February 2025 / Published: 24 March 2025 (This article belongs to the Special Issue Building …

Developing Students' Sociotechnical Thinking In The Humanities-Engineering Classroom: A Treatment Versus Control Study Using A Scenario-Based Assessment, Lori Czerwionka, Siddhant S. Joshi, Gabriel O. Rios-Rojas, Kirsten A. Davis

School of Engineering Education Faculty Publications

Background

Engineering problems are open-ended and complex, involving technical and social aspects, yet engineering education focuses on technical training and closed-ended problems. To prepare engineering students, curricula should foster sociotechnical thinking—the ability to consider the interplay of technical and social factors during problem solving. Although educational interventions in this area show promise, further insight into the benefits of interdisciplinary interventions is warranted, particularly with treatment and control group designs.

Purpose

We examine the effect of a Humanities-Informed Engineering Projects (HIEP) course on students' sociotechnical thinking development.

Method

We compared the sociotechnical thinking development of engineering students who took the HIEP …

Analysis Of An Ultra-Broadband Terahertz Metamaterial Absorber, Md Ariful Islam, Md Rezwan Ahmed, Oishi Jyoti, Pritu Sarkar, Md. Samiul Habib

Mechanical Engineering Faculty Publications

This paper introduces a metamaterial absorber (MA) based on vanadium dioxide (VO2) that achieves over 90% absorption of incident terahertz (THz) waves in between 4.50 THz to 11.90 THz with an average absorption of 94.64% and a relative absorption bandwidth (RAB) of 90.18% — the highest reported absorption bandwidth for VO2-based absorbers to our knowledge. The proposed metamaterial absorber features a design with a central square surrounded by four ’T’-shaped elements on each side, symmetrically arranged on a TOPAS dielectric substrate. We perform all numerical analyses keeping the phase-changing material VO2 in the metallic state, and our simulation results show …

How Engineering Students Learn And Are Impacted By Empathy Training: A Multi-Year Study Of An Empathy Program Focused On Disability And Technology, Eric Schearer

Faculty Scholarship

Measurable results of efforts to teach empathy to engineering students are sparse and somewhat mixed. This study’s objectives are (O1) to understand how empathy training affects students’ professional development relative to other educational experiences, (O2) to track empathy changes due to training over multiple years, and (O3) to understand how and what students learn in empathy training environments.

The Impact Of Solar Angle And Cloud Shadows On 3d Reconstruction Of Rolling Stock Cargo, Carlina M. Ostrand, Adam D. Reiman, Frank W. Ciarallo, Scott L. Nykl, Clark N. Taylor, Joshua F. Krutz

Faculty Publications

Meeting the relentless demand for more efficient air cargo transportation is of paramount importance for commercial needs and military missions. This study describes an experiment to test an innovative approach that harnesses cutting-edge stereoscopic vision technology to create 3D point clouds of rolling stock cargo across varying solar angles and cloud shadow conditions. Virtual cargo point clouds are generated by calibrating and systematically organizing the depth and location points from an RGB-D camera and then reprojecting them in a virtual environment. Measurement accuracy was rigorously tested across six camera positions in various combinations of weather conditions against physical ground truth …

Confirmation Of The Scanpyramids North Face Corridor In The Great Pyramid Of Giza Using Multi-Modal Image Fusion From Three Non-Destructive Testing Techniques, Thomas Schumacher, Polina Pugacheva, Hussien Allam, Alejandro Ramirez-Pinero, Benedikt Maier, Johannes Rupfle, Khalid Helal, Olga Popovych, Amr G. Hamza, Mohamed Sholqamy, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

Abstract While non-destructive testing (NDT) measurements have been reported individually for archeological surveys of cultural heritage structures, only a few studies to date have attempted to combine NDT images by means of image fusion (IF). In this article, novel multimodal IF results from three different NDT techniques collected at the Chevron located on the Great Pyramid of Giza (aka. as Khufu’s Pyramid) are presented. The Chevron is an assembly of limestone blocks located in front of the recently confirmed ScanPyramids North Face Corridor (SP-NFC), which had been previously hidden for 4500 years. Under the research activities of the ScanPyramids mission, …

Arduino-Esp32 Based Smart Irrigation System, Ahmed D. Hassebo, Kevin B. Montes, Erick Cabrera

Publications and Research

In response to the growing demand for efficient water management in agriculture, this research presents the development of an Arduino-ESP32 based automated irrigation system. The project integrates an Arduino microcontroller with an ESP32 module to facilitate real-time data collection and control of irrigation processes. Sensors monitor soil moisture, water levels, and local weather conditions, with data displayed on an LCD I2C screen for user accessibility. The ESP32 module handles alert notifications via text messages, keeping users informed remotely. Key components, including a water pump, valve, relay module, OLED screen, and LED display, are synchronized to ensure precise irrigation control. Additionally, …

Development, Optimization, And Validation Of A High-Sensitivity Capillary Zone Electrophoresis System For Bioanalytical Applications, Aaron I. Mena

Electronic Theses and Dissertations

Capillary zone electrophoresis (CZE) is a powerful analytical technique widely used for biomolecular separation due to its high resolution, efficiency, and sensitivity. This report presents the development and validation of a novel CZE system designed to improve modularity, reproducibility, and operational efficiency. The system integrates a laser-induced fluorescence (LIF) detection method with a 488 nm laser, enhanced fluid control through a negative pressure system, and a user-friendly GUI for automated operation and data acquisition. Performance verification included pressure stability tests, fluorescence accuracy assessments, and electrophoretic reproducibility studies. Comparative analysis with a previous CZE iteration confirmed improved baseline stability, peak resolution, …

Advancing Tka Biomechanics: From Joint Simulator To Boundary Condition Development, Yashar Ali Behnam

Electronic Theses and Dissertations

This dissertation addresses four specific aims that collectively attempted to advance the experimental and computational analysis of total knee arthroplasty (TKA) components. The first study focused on the development of a novel whole knee joint simulator capable of simultaneous tibiofemoral and patellofemoral knee loading. This simulator employs custom fixturing to facilitate dynamic, unconstrained, muscle-driven PF articulation alongside controlled TF contact mechanics. Validation against experimental measurements showed strong agreement, demonstrating the simulator's potential as a valuable tool for future TKA design and surgical technique investigations.

The second study verified implant-specific physiological boundary conditions which accurately simulate activities of daily living using …

Determinants Of Knee Motion In Health, Disease, And Repair, Sean Edward Higinbotham

Electronic Theses and Dissertations

The human knee joint is a complex and intricate structure, enabling a wide range of motions and facilitating various dynamic activities throughout a person's lifetime. The combination of the knee's complexity and its role as a primary load-bearing joint has made it susceptible to regular wear and tear, leading to pain and the development of Osteoarthritis (OA), to which, the only treatment currently is total knee arthroplasty (TKA). Despite TKA being a mature procedure, 20% of patients receiving a TKA are dissatisfied with their “new” knee. To reduce that 20% dissatisfaction and improve surgical outcomes, orthopedic companies are developing advanced …

Insect Wing Flexibility Improves The Aerodynamic Performance Of Small Revolving Wings, Gal Ribak, Ori Stearns, Kiruthika Sundararajan, Duvall Dickerson-Evans, Dana Melamed, Maya Rabinovich, Roi Gurka

Physics and Engineering Science

Insect wings are flexible, elastically deforming under loads experienced during flapping. The adaptive value of this flexibility was tested using a revolving wing set-up. We show that the wing flexibility of the beetle Batocera rufomaculata, suppresses the reduction in lift coefficient that is expected to occur with a reduction of wing size compared to rigid propeller blades. Moreover, the scaling of wing flexibility with size is intra-specifically tuned through changes in wing-vein cross-section, resulting in smaller wings achieving proportionally larger chordwise deformations compared to larger wings, when loaded with aerodynamic forces. These elastic deformations control the separation of flow from …

The Artificial Intelligence-Enhanced Echocardiographic Detection Of Congenital Heart Defects In The Fetus: A Mini-Review, Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang

Michigan Tech Publications

Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately diagnosing structural heart disease. In this review paper, we first outline the technical background of AI and echocardiography and then present an array of clinical applications, including image quality control, cardiac function measurements, defect detection, and classifications. Collectively, we answer how integrating AI technologies and echocardiography can help improve the detection of congenital heart defects. Particularly, the superior sensitivity of AI-based congenital heart defect (CHD) detection in the fetus (>90%) allows it to be potentially translated into the clinical workflow as an effective screening tool in …

Optimizing Parameters For Efficient Computation With Fully Homomorphic Encryption Schemes, Cavi̇dan Yakupoğlu Karaağaç, Kurt Rohloff

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, we aim to provide a parameter selection approach for the BFVrns scheme, one of the prominent fully homomorphic encryption (FHE) schemes. Selecting parameters for lattice-based FHE schemes poses a practical challenge for both experts and nonexperts. To solve this problem, we introduce a hybrid approach that combines theoretical approach with experimental analysis. First, we employ regression analysis to examine the impact of parameters on both performance and security. The varying behavior of FHE parameters in terms of performance, security, and ciphertext expansion factor (CEF) makes parameter selection more challenging. To address this issue, we employ a multi-objective …

Decomposition Lstm With Dual Multi-Head Self-Attention For Wind Turbine Drivetrain State Forecasting, Haikun Jia, Huini Sun, Shuang Bai

Turkish Journal of Electrical Engineering and Computer Sciences

Due to the clean and renewable nature of wind energy, accurate prediction of rotor loads and operating states for wind turbine units has become of paramount importance. Currently, traditional methods relying on expert analysis combined with instrument testing for qualitative reasoning are both time-consuming and labor-intensive, and their accuracy guarantees are limited. In response to wind farm data entailing the interweaving of data from multiple sources and the diverse interrelations across various features and time steps, this study introduces a method for predicting rotor loads and operating states. Initially, we employ an iterative multi-scale seasonal-trend decomposition block to capture latent …

Fuzzy-Virtual Inertia Control To Improve The Frequency Response Of Multi-Area Power Systems, Nourelhouda Djaraf, Yacine Daili, Abderrahim Zemmit, Abdelghani Harrag

Turkish Journal of Electrical Engineering and Computer Sciences

Virtual inertia control (VIC) is essential for power systems dominated by electronic devices to compensate for the lack of inertia and ensure frequency regulation. However, most existing VICs often focus solely on optimizing the virtual inertia parameter to adapt to the high penetration of renewable energy sources (RESs) without considering the damping factor. This oversight can lead to significant fluctuations and power mismatches, especially in interconnected systems where the coordination between MGs is sensitive and essential, and there is a risk of propagation of deviations between MGs, which makes the control more complex. To address these issues, this paper presents …