Digital Commons Network^™

A Method For Assessing The Contribution Degree Of An Aviation Delivery System And Identifying Key Equipment, Xiaofeng Liu, Chengze Jiang, Xingyu Chen, Deyin Jiang, Bolin Shang, Bifeng Song

Journal of System Simulation

Abstract: Based on the delivery efficiency and delivery quality, a general aviation delivery system effectiveness evaluation model was constructed, and a calculation method of system contribution degree based on efficiency was given. By combining the system calculation experiment and simulation experiment based on agent-based modeling and simulation (ABMS), the design idea of the Monte Carlo simulation experiment for key equipment identification and equipment technology development trend analysis was sorted out, and the key equipment identification method based on ABMS and contribution evaluation was proposed. By taking the intercontinental long-range aviation delivery mission as an example, a variety of simulation experiments …

Fault-Tolerant Control Method For All-Type Actuator Faults Of Evtol Aircraft, Juan Wang, Guorui Li, Zhiyong Fan, Huijie Chen

Journal of System Simulation

Abstract: To address all-type actuator faults, especially nonlinear distortion issues, in multi-rotor eVTOL aircraft, a novel fault-tolerant control method was proposed. A fault function was established at the rotor speed level, and a fault-tolerant control algorithm combining dynamic robust nonsingular fast integral terminal sliding mode with a high-order finite-time disturbance observer was designed to achieve fault-tolerant control through rotor redundancy allocation. The nonsingular fast integral terminal sliding mode algorithm was improved, and a dynamic system containing actuator faults and their derivatives was constructed via a dynamic surface to achieve system convergence within finite time, avoiding the singularity and chattering problems …

Learning Evolution Modeling Of Multi-Cycle Nested Cloud Manufacturing Service Ecosystem, Fang Li, Deyu Zhou, Gang Wang, Guangjun Liu, Qi Hu

Journal of System Simulation

Abstract: In view of the lack of comprehensive consideration of the individual adaptability changes of enterprises caused by the collaborative governance mechanism among multiple manufacturing units and the overall evolution trend of the system in existing learning evolution models, this proposed a learning evolution model of multi-cycle nested cloud manufacturing service ecosystem. At the micro level, the adaptive linkage decision-making among multiple manufacturing units within the enterprise was achieved in the individual layer through the nesting of planning-readiness-execution-assessment (PREA) loops and OODA loops; at the macro level, the closed-loop simulation of the individual layer, organizational layer, and social layer was …

Study On Transient Electric Field Of Insulated Rail Joints In High-Speed Railway Stations Based On Dissado-Hill Model, Junli Li, Youpeng Zhang

Journal of System Simulation

Abstract: The transient electric field distribution of insulated rail joints in high-speed railway stations under lightning impulse voltages is critical to their normal operation. Under lightning impulse voltages, considering the relaxation polarization of the insulated rail joint material, a frequency-domain mathematical model of its transient electric field was established. Based on Dissado-Hill model, the measured frequency-domain dielectric spectra were fitted and analyzed to reveal the microstructural characteristics of insulated rail joints and the interaction characteristics between microscopic particles during the polarization process. The results indicate that the relative permittivity of insulated rail joints decreases with the increasing harmonic frequency of …

Intelligent Evaluation Method For Regional Air Superiority Based On Graph Convolutional Neural Network, Peng He, Yubo Tang, Jingde Liu, Yujia Tian

Journal of System Simulation

Abstract: To address the dual challenges of the lack of quantification standards and sparse air combat samples in the superiority evaluation of modern air combat, an intelligent evaluation method for regional air superiority based on a graph convolutional neural network was proposed. The spatial grid method was employed to encode the air situation of the entire battlefield airspace into a new data representation, namely the air superiority matrix. A novel air superiority quantification model was applied to quantify the air superiority label values of spatial grids, and four key operational capabilities closely related to air superiority contention were selected as …

Sensorless Control Of Pmsm Based On An Improved Super-Twisting Sliding-Mode Observer, Shiyu Chen, Xinmin Chen, Xionglong Hu, Heng Wang, Yepeng Han, Jiajie Chen

Journal of System Simulation

Abstract: To address the chattering in back electromotive force estimation and the gain mismatch across a wide speed range when using a conventional super-twisting sliding-mode observer in the sensorless control system of a permanent-magnet synchronous motor, this paper proposed an improved adaptive-gain super-twisting sliding-mode observer. A linear correction term was introduced into the super-twisting algorithm and integrated with a gain adaptation law based on speed feedback, enabling the system to achieve finite-time convergence and high-precision back electromotive force estimation over a wide speed range. A variable-gain adaptive complex-coefficient filter was constructed to effectively suppress the harmonic components in the observed …

Line Spectrum Enhancement Technology Based On Second-Order Vector Hydrophone, Zhengkai Wang, Yirong Yu, Qing Hu

Journal of System Simulation

Abstract: In view of the problem of limited detection of line spectrum signals in low signal-to-noise ratio underwater environments, a spatial-temporal cooperative line spectrum enhancement technology based on a two-dimensional second-order vector hydrophone was proposed. A receiving signal model of the two-dimensional second-order vector hydrophone was established to clarify the spatial characteristics of its output signals. For spatial signal processing, the signals from each channel of the vector hydrophone were fused to suppress noise, and a channel combination method with high spatial directivity gain was proposed to achieve spatial processing gain. For temporal signal processing, an adaptive line spectrum enhancer …

Dodaf-Opm-Sd Cross-Layer Automated Mapping Method Based On A Unified Semantic Bridge, Lei Cheng, Gang Xiao, Binbin Wang, Siming Peng, Haozhe Liang, Xiangwu Gong

Journal of System Simulation

Abstract: To address the problems of the inability of DoDAF views to directly drive simulations and the insufficient cross-layer semantic alignment and consistency verification, a DoDAF-OPM-SD cross-layer semantic automated/semi-automated mapping and verification method was proposed in this paper. Targeting tactical/operational-level problems dominated by "conservation+feedback+time delay", the proposed method reduced manual mapping under expert adjudication based on a "minimal executable view set". The object-process methodology served as a semantic bridge to map architectural elements into the stock-flow-feedback structures of system dynamics; semantic embedding disambiguation, integer programming harmonization, and K-nearest neighbor parameter completion were integrated; end-to-end traceability was connected through traceability identifiers, …

Three-Dimensional Gaussian Reconstruction Of Large-Scale Scenes Under Multi-View Geometry Constraints, Haohao Cui, Yanqiang Di, Qing Liu, Xianguo Meng

Journal of System Simulation

Abstract: To enhance the geometry reconstruction quality of the GS algorithm in large-scale scene reconstruction, an optimization method constrained by multi-view geometry reconstruction results was proposed. 2D Gaussian planes were used as geometric primitives to overcome depth anisotropy, and dense depth maps generated by DUSt3R and aligned by sparse point clouds were introduced as constraints. By designing a multi-stage optimization strategy that decouples geometry and rendering, the gradient conflict problem in multi-objective training was solved. Experiments on the MatrixCity dataset indicate that the method surpasses comparison methods in related indicators of geometry reconstruction quality and rendering quality in large-scale scenes. …

Design And Implementation Of Hdrt Real-Time Simulation System, Huiji Zheng, Guangsen Wang, Qing Liu, Kang Wang, Zhiwei Wang, Zhenyu Zhang, Shuo Wang, Zhu Liu

Journal of System Simulation

Abstract: In view of the real-time simulation requirements of large-scale complex systems such as power electronics, a hidden dragon real-time(HDRT) simulation system was developed. The strict time constraints of simulation tasks were guaranteed based on a resource-dedicated real-time scheme, supporting fixed-step and multi-rate simulations from the second level to the hundred-nanosecond level. A hybrid CPU-field programmable gate array(FPGA) architecture was adopted to accelerate computation. The system could utilize multiple simulators for parallel simulation and realized microsecond-level real-time data interaction between simulators through a dedicated PCIe switch. A single simulator could be expanded through I/O interface equipment, supporting a maximum input …

Numerical Simulation Of Water Tank Solidification In A Firefighting Aircraft Under High-Altitude Cold-Soak Conditions, Guanmian Liu, Zhihang Cheng, Hejun Qin, Kangzhi Yang, Qing Wen, Kun Gao

Journal of System Simulation

Abstract: A systematic numerical simulation study was conducted to address the issue of internal water tank solidification in firefighting aircraft under high-altitude low-temperature conditions. Based on computational fluid dynamics methods, a solidification-melting model considering fluid-structure interaction heat transfer and phase change processes was adopted. Through reasonable simplification of the complex geometric model, a quasi-three-dimensional computational model suitable for engineering analysis was developed. The influence laws of key parameters, including high-altitude cold-soak temperature, ground initial water temperature, and cold-soak time, on the freezing characteristics of the water tank were investigated. Combining with the parameter influence laws, a safety criterion using the …

Optimization Of Node Deployment For Three-Dimensional Heterogeneous Wsn In Elongated Structural Space, Jiguang Yang, Jiuyuan Huo, Fang Cao, Cong Mu

Journal of System Simulation

Abstract: To achieve effective coverage of key monitoring points in an elongated structural space, a heterogeneous wireless sensor network(HWSN) deployment optimization method combining the virtual force algorithm(VFA) and multi-strategy improved whale optimization algorithm(MSIWOA), namely HVF-MSIWOA, was proposed. A dynamic adaptive weight mechanism and a t-distribution perturbation operator with heterogeneous degrees of freedom were designed, enabling the whale optimization algorithm(WOA) to balance global exploration and local exploitation and jump out of local optima; combining the topological characteristics of the elongated space and node density distribution, an adaptive virtual force distance threshold between heterogeneous nodes was constructed; the mapping relationship between network …

Combat Effectiveness Evaluation Of Anti-Ship Missiles For Intelligent Autonomous Recognition, Long Zhang, Xuanming Feng, Zhen Lei, Bo Yang, Ying Wang

Journal of System Simulation

Abstract: To address the core issues of poor adaptability of static fusion strategies in existing recognition models, as well as the simplistic evaluation system and its disconnection from dynamic confrontation requirements, a practical four-dimensional evaluation system encompassing "recognition accuracy, antijamming stability, decision timeliness, and modal complementarity" was constructed, and an operational effectiveness composite index (OECI) capable of dynamically adapting to tactical scenarios was proposed. A multimodal dynamic attention fusion network (MDA-Net) for anti-ship missiles in complex confrontation environments was designed. Through heterogeneous feature decoupling, dynamic weighting of cross-modal attention, and a hierarchical gating decision mechanism, the autonomous evaluation and adaptive …

Infrared Image Generation Method Based On Improved Cyclegan, Qiqi Jin, Xiang Zhang, Li Gao, Lin Zhang, Junliang Yan, Peiyao Li

Journal of System Simulation

Abstract: To address the problems in current infrared image generation such as insufficient contrast between target and scene, excessively large discrepancies from real scenes, indistinct thermal source features, and great difficulty in constructing measured infrared image datasets, an improved CycleGAN-based infrared image generation method was proposed. By optimizing the network structure of the generator and adding a non-local module and a CBAM convolutional attention mechanism into the generator, the extraction capability of CycleGAN for infrared features was enhanced, enabling the network to capture the subtle features of targets more accurately; a perceptual loss function was introduced to improve the detail …

Uab Libraries News, 08/09 2026, Uab Libraries

UAB Libraries News

No abstract provided.

Field Calibration Of Flow Over Tilting Weirs In Canals, Joseph E. Pugh, Timothy K. Gates, S. Karan Venayagamoorthy, Caner Kutlu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Tilting weirs are widely used to regulate water levels in open channel irrigation systems and can also provide flow measurement capability that helps optimize irrigation efficiency and ensure equitable water distribution. This case study demonstrates adaptation of lab-based tilting weir ratings to field settings, where flow behavior is more complex. We compile and analyze an extensive data set derived from independent studies of five structures within three canal systems, featuring both lined and unlined channels with discharge ranging from 0.35 to 15 m3/s (12 to 530 ft3/s). Results indicate that lab-based rating equations can be calibrated to account for site-specific …

Five-State Seismic Damage Classification Of Steel-Girder Bridges On Soft Soil Using Directional Intensity Measures And Multi-Parameter Damage Indices, Ibrahim Alomari, Woubishet Zewdu Taffese, Mohammad Hossein Afsharmovahed, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rapid yet accurate post-earthquake damage assessment of highway bridges is essential to ensure transportation network resilience. Traditional inspection, fragility analysis, and finite element modeling are time-consuming or inaccurate for real-time decision-making. This study compares ten machine-learning classifiers for the seismic damage states of highway steel-girder bridges that incorporate directional intensity measures to represent the variance of ground motions. Based on the nonlinear time-history analyses of two Missouri bridges, one Michigan bridge, and one Wisconsin bridge, multi-parameter structural damage indices were proposed and mapped to five damage states from none to collapse. Among ten supervised algorithms studied, the artificial neural network …

Non-Uniform Mixing Of Quantum Walks On The Symmetric Group, Avah Banerjee

Computer Science Faculty Research & Creative Works

It is well-known that classical random walks on regular graphs converge to the uniform distribution. Quantum walks, in their various forms, are quantization's of their corresponding classical random walk processes. Gerhardt and Watrous (2003) demonstrated that continuous-time quantum walks do not converge to the uniform distribution on certain Cayley graphs of the Symmetric group, which by definition are all regular. In this paper, we demonstrate that discrete-time quantum walks, in the sense of quantized Markov chains as introduced by Szegedy (2004), also do not converge to the uniform distribution. We analyze the spectra of the Szegedy walk operators using the …

Bringing Women Into Focus: Adapting Traditional Lesson Standards To Incorporate Women In U.S. History, Emma M. Wilson

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis Plan-B project is creating women centered lesson plans for middle and high school social studies curriculum. As a result of male dominance in education the standards, practices, and curriculum have largely focused on a male-dominant narrative. This project works to remedy this imbalance by taking standards directly from the State and adapting lesson plans to highlight historical women actors as the focus, while still aligning with core outcomes. The current male-centered approach to the broader social studies curriculum does not account for the wide array of viewpoints experienced for those living in the United States. Re-envisioning lessons to …

The Legend Of The Bear Lake Monster, Melissa Anderson Asay

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Bear Lake Monster is a legend that has persisted for centuries. This monster is rooted in Shoshone oral traditions and hold the potential to be based off of fossils found in the Shoshone territory. This living legend was later amplified by Mormon settlers. One settler in particular, Joseph C. Rich, played a significant role in shaping its narrative. Though he eventually admitted to fabricating sightings to encourage settlement, belief in the creature remains alive today. The serpent’s presence in local lore has undeniably influenced the Bear Lake region, shaping both its identity and tourism industry. This legend serves as …

Language Learning Under Pressure: Rethinking Anxiety, Assessment, And Support In Second Language Classrooms, Bryn C. Cole

All Graduate Reports and Creative Projects, Fall 2023 to Present

This portfolio examines the role of anxiety in second language acquisition (SLA) and its impact on student performance, assessment, and overall participation. Drawing on both the author’s classroom experience and SLA research, it argues that language anxiety should be understood as a structural feature of classroom environments rather than an individual learner deficit. The paper explores how traditional assessment practices may obscure students’ underlying competence by prioritizing performance under pressure. It proposes two key shifts in response: reformatting assessments as a more flexible and context-sensitive process, and integrating peer mentorship as a form of interpersonal instructional support. Together, these approaches …

The Economics And Viability Of Organic Forage And Grain Production In Utah, Mackenzie Lee

All Graduate Reports and Creative Projects, Fall 2023 to Present

Utah farmers face significant financial and agronomic challenges when transitioning into organic forage and grain production. The state’s high-desert climate, alkaline soils, and limited irrigation water make organic production more expensive and riskier than in many other regions.

This study evaluates a ten-year rotation built around alfalfa, which acts as a natural nitrogen engine for the system. Because alfalfa fixes large amounts of nitrogen, it reduces fertilizer costs for later crops such as organic corn. However, farmers must first survive the three-year transition period, during which they must follow organic rules but cannot sell their crops at organic prices.

Using …

Using A Social-Ecological-Technological Systems Approach For Assessing Vulnerabilities Downstream Of Dams, Michael J. Englert

All Graduate Reports and Creative Projects, Fall 2023 to Present

Dam failure is rare, but when it occurs the consequences can extend far beyond the structure of the dam itself. This project assessed vulnerabilities downstream of Utah’s 189 state-regulated, high-hazard dams using a Social-Ecological-Technological Systems (SETS) approach. The purpose of the project was to look beyond engineering and structural risk alone and identify the people, protected ecosystems, critical infrastructure, and land cover types located within mapped dam inundation zones.

Potential inundation zone maps were obtained from the Utah Division of Water Rights Dam Safety Section. They were processed using ArcGIS Pro and integrated with publicly available nationwide geospatial datasets to …

Developing A Resilient Park For Palisade State Park: A Model For Intermountain West State Parks, Hirone T. Warner

All Graduate Reports and Creative Projects, Fall 2023 to Present

Palisade State Park in central Utah is a cherished natural resource, offering diverse recreational opportunities and serving as an important ecological habitat. However, the park faces increasing challenges due to increasing visitation and the impacts of climate change. This thesis presents a strategic master plan for Palisade State Park, designed to guide its development over the next 20 years.

Recognizing the need for a sustainable approach, this project adopts a participatory method, involving park users, residents, and environmental experts in the planning process. The goal is to create a master plan that not only addresses the park’s immediate needs but …

Tales, Traditions, And Tides: The Little Logan River And Its Role In Cache Valley's History, Culture, And Conservation, Emily A. Kovacic

All Graduate Reports and Creative Projects, Fall 2023 to Present

The Little Logan River (LLR) plays a vital role in the cultural, historical, and ecological landscape of Cache Valley, Utah. Amid growing concerns raised by the Logan River Watershed Project (LRWP), which threatens to alter the river’s environment, this project seeks to understand the significance of the LLR as a cultural and recreational asset through collected oral histories. Building on folkloric perspectives of place-based storytelling, this thesis introduces the idea of vivus locum, or “that place which is alive,” through the example of the LLR to the study of folkloristics. The concept of vivus locum emphasizes the importance of …

Historical Inquiry-Based Lessons In World History Classrooms: Creating Opportunities For Historical Thinking, Melinda Thatcher Lofland

All Graduate Reports and Creative Projects, Fall 2023 to Present

This Plan B project creates inquiry-based lessons that help students investigate the global tapestry of World History with its vast threads of transregional connections and diverse cultures that color our contemporary world and help prepare them to participate as global citizens. This project uses primary and secondary sources to create evidence-based lesson plans that will help history teachers provide opportunities for students to practice historical inquiry skills in Utah’s world history classrooms. These plans employ current scholarship and best teaching practices while following national and state standards for World History. In addition, these lessons were developed using inquiry-based historical thinking …

The Development Of A Plant Database For Waterwise Plants Along The Intermountain West, Tyler G. Peterson

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis presents the rationale behind the importance of accurate 3D plant models. The research conducted provides logical explanations for why we should accurately represent plants in our 3D models, not only as landscape architects but as designers in general. In addition to this research, a database of waterwise plants was produced to provide designers with a resource to better represent landscapes. During the creation of this database, detailed process records were maintained to enable others to continue to add to and build on the work done within this thesis. It is hoped that this database, begun in this thesis, …

Reintegrating Contaminated Sites Into The Urban Fabric: Redevelopment In Pocatello, Idaho, Hadley Ocheltree

All Graduate Reports and Creative Projects, Fall 2023 to Present

Brownfield sites represent some of the most environmentally compromised landscapes in the United States and are frequently concentrated within economically disadvantaged communities, raising important environmental justice concerns. Redeveloping these sites requires integrated approaches that address contamination, urban form, ecological restoration, and long term community needs. This thesis examines the 143 acre former Union Pacific Railroad site in Pocatello, Idaho and proposes a comprehensive redevelopment framework that reconnects a historically significant industrial landscape to the surrounding city.

The project draws from an analysis of eight precedent brownfield redevelopment projects and applies key planning and landscape architecture principles, including New Urbanism, pedestrian …

Retrofitting Chapel Lawns: Shifting The Landscaping Paradigm In Utah, Jessica Snider

All Graduate Reports and Creative Projects, Fall 2023 to Present

Utah is facing a water crisis. The state’s aggressive rate of population growth combined with its dry climate makes it difficult to meet water demands and has pushed the Great Salt Lake to the verge of collapse. Utah residents can save water by installing waterwise landscapes instead of lawns. As one of Utah's most prominent organizations and a strong advocate for earth stewardship, The Church of Jesus Christ of Latter-day Saints is well positioned to lead a cultural shift toward more sustainable landscaping practices by showcasing well-designed, well-maintained waterwise landscapes at its chapels. The purpose of this project is to …

Water Use And Yield Of Subsurface Drip-Irrigated Forage Crops In Northern Utah, Nishchal Tamang

All Graduate Reports and Creative Projects, Fall 2023 to Present

Growing water scarcity in the Intermountain West has increased interest in improving water use efficiency. Subsurface drip irrigation (SDI) has the potential to reduce evapotranspiration (ET), evaporative losses, surface runoff, and deep percolation. SDI adoption in Utah forage crops is limited, and region-specific information on forage crop water use under SDI is lacking. This study compared ET, yield, and productivity of forage crops between SDI and conventional irrigation methods in northern Utah.

The study was conducted on production fields. Applied irrigation, precipitation, and crop yield were directly measured, while deep percolation was estimated using numerical unsaturated flow modeling. Surface runoff …