Digital Commons Network^™

Research And Analysis Of Algorithm For Detecting Surface Defects On Automotive Wheel Hubs Based On Ccl-Yolov8, Yanjun Chen, Min Zhou, Meng Zha, Meizhou Zhang

Journal of System Simulation

Abstract: To address the challenges such as low detection efficiency, difficulties in identifying small defects, and poor accuracy in detecting surface defects on automotive wheel hubs, a lightweight neural network called CCL-YOLOv8 was proposed based on an improved YOLOv8n architecture. A synergistic improvement in both detection accuracy and efficiency was achieved through a three-stage model optimization strategy. A convolutional attention fusion module was introduced, which integrated convolution operations with self-attention mechanisms, thereby enhancing the model's ability to capture local features of small defects while perceiving global context under low signal-to-noise ratio conditions.A C2f-Star module was constructed to reduce computational overhead …

Research On Inter-Satellite Topology Design And Simulation Of Giant Leo Constellation Network With Consistent Pattern, Zhicheng Li, Shuaijun Liu, Lixiang Liu

Journal of System Simulation

Abstract: The giant low earth orbit (LEO) constellation network uses inter-satellite links to form an intersatellite topology, realizing the transmission of data between satellites. In order to adapt to the nature of uniform and symmetrical distribution of satellites in the constellation, this paper used a consistent connection pattern between satellites to construct an inter-satellite topology, and by analyzing the arrangement of non-mirror links in the constellation, it was found that the connection method of each link of the satellite itself could be independent of each other, which reduced the simulation complexity and the solution space of the inter-satellite topology. …

A Precise Damage Assessment Method For Lethal Blast Warheads Against Quadruped Robots, Xueqian Wang, Jianbing Men, Xin Zhou, Shuyou Wang, Mei Li

Journal of System Simulation

Abstract: To accurately evaluate the damage efficiency of a lethal blast warhead on quadruped robots, a typical quadruped robot replication model and vulnerability damage tree were constructed through Autodesk Inventor. The power field calculation model of a lethal blast warhead was introduced. Based on the high-precision collision detection and graphic rendering technology of UE, this paper carried out the intersection detection of destructive elements and targets and realistic scene visualization. A visualization system for damage assessment of quadruped robots by a lethal blast warhead was developed, featuring capabilities such as parametric modeling of the lethal blast warhead, power field evolution …

Simulation And Multi-Perspective Recognition Algorithm For Typical Trajectory Shapes, Xuejian Feng, Han Ding, Yiqi Tong, Chaoying Huo, Yanjin Zhang

Journal of System Simulation

Abstract: Current trajectory simulation methods inadequately address geometric shape features and kinematic properties of the target trajectory. To bridge this gap, a target trajectory shape simulation algorithm based on kinematic laws was proposed. The polar coordinate equations and curvature equations of multiple trajectories were integrated. The aircraft state parameters were solved by combining kinematic equations. Angular Gaussian noise was introduced to enhance trajectory diversity and authenticity. Additionally, a multi-perspective trajectory shape recognition algorithm was designed, which could effectively integrate image and sequential multi-modal features by adopting a multilayer perceptron, enabling precise trajectory shape recognition. Experimental results demonstrate that the proposed …

Virtual Train Operation Platform Based On Digital Twin, Ziying Wang, Congjun Sun, Guihu Li, Tianhao Zhang

Journal of System Simulation

Abstract: In response to the limitations of traditional train operation simulation modeling, such as simplification, lack of adaptive adjustment capability for parameters, and proneness to error accumulation, a virtual train operation platform based on digital twin technology was proposed. A train model under specific railway lines was constructed. By combining with the intelligent operation and maintenance platform of the railway line, real-time train operation data was obtained and preprocessed. The adaptive chaos optimization algorithm was used to optimize the key parameters of train operation simulation online and establish a digital twin model of the railway line. This model adopted a …

Large-Scale Scene Registration Technology Based On 3d Gaussian Splatting Fusing Gps Prior Information, Fei Wan, Yong Yin

Journal of System Simulation

Abstract: To address the challenges of low computational efficiency, slow convergence, and limited accuracy in large-scale 3D scene registration, a 3D Gaussian splatting (3DGS) registration method integrating GPS prior information was proposed. Spatial position priors provided by GPS were utilized to establish initial alignment through coordinate system transformations, narrowing the registration search space. Dense point cloud models were efficiently reconstructed by combining 3DGS technology. Highprecision alignment was achieved through a two-stage optimization of GPS coarse registration and fine registration. Experiments demonstrate that the GPS-assisted method reduces translation errors by 25%~50% and increases success rates to 98% in vegetation-covered and …

Task Planning Method For Cross-Domain Cooperative Combat Operations Of Unmanned Systems Under Complex Constraints, Haojie Fang, Ziyang Zhen, Huajun Gong, Xu Xie, Wei Luo

Journal of System Simulation

Abstract: In pre-combat task planning for cross-domain cooperative combat operations, to solve the problems of diverse and complex constraints and difficulties in solving planning models caused by performance differences of unmanned systems and increased requirements for cooperative combat operations, a multi-strategy enhanced grey wolf optimization (MSEGWO) algorithm was proposed. By considering various complex constraints such as performance of each type of unmanned systems, munition usage, task timing, task time window, and flight path, a task planning mathematical model with minimizing the comprehensive cost as the objective was established. Improvement strategies such as nonlinear adjustment of convergence factor, alternative solution space …

Design And Application Of Bds Visual Simulation Teaching Platform Based On Cesium, Liguo Lu, Yulin Cai, Tangting Wu, Canhui Lin

Journal of System Simulation

Abstract: The deep development of the BeiDou navigation satellite system(BDS) cannot be separated from the support of corresponding talent education, especially the development of new digital resources and tools. A visual simulation teaching platform for BDS was designed based on open source Cesium engine library to address issues such as the large and complex size of the BDS project, the unreachable space environment, and the difficult understanding of principles and concepts. The platform adopted a B/S architecture to achieve visual simulation of course content such as orbit cognition, orbit calculation, constellation simulation, service performance, and satellite links. Teaching applications have …

Research On Uav Path Planning Method Based On Collision Free Trajectory, Jun Xie, Qi Zhang, Yanyun Peng, Haonan Shi, Dongyang Li, Xi Liu

Journal of System Simulation

Abstract: In view of the problems of poor quality, long time consumption, and low efficiency of the autonomous path planning method for unmanned aerial vehicles, a path planning method for unmanned aerial vehicles based on a collision-free trajectory was proposed. Under the premise of uncertainty, the time-related virtual points and collision threshold were set; the obstacle was modeled as a rectangle; the interest points around the rectangle were defined. The uncertainty optimization model between the unmanned aerial vehicles and the obstacle was established, so as to obtain the allowable edge of the collision-free trajectory of the unmanned aerial vehicles. The …

Construction Approach Of Llm-Empowered Tactical Wargame Decision-Making Agents, Dayong Liu, Zhiming Dong, Qisheng Guo, Ang Gao, Xuehuan Qiu

Journal of System Simulation

Abstract: Decision-making agents are critical enablers for implementing human-machine, machinemachine, and hybrid human-machine adversarial interaction in tactical wargaming, where the intelligence level of the agent is crucial. To address the limitations of traditional decision agents such as insufficient adaptability, simplistic strategies, and high construction costs, a fusion decision framework driven by the large and small models was proposed. It specifically investigated the fusion approach of large language models with conventional decision-making agent construction approaches, including behavior trees, finite state machines, heuristic search, and deep reinforcement learning. New ideas and technical pathways are provided for the construction of tactical wargame …

Research On Visual Place Recognition Algorithms For Complex Urban Environments, Peijin Liu, Minxin Zhang, Lin He, Yige Sun, Tingqi Su

Journal of System Simulation

Abstract: Dynamic factors such as traffic flow and crowd density in complex urban environments reduce the accuracy of visual place recognition (VPR) algorithms. To solve these problems, a semantic-guided visual place recognition (SG-VPR) algorithm was proposed. A semantic-guided feature suppression module was designed. A semantic-guided module and feature suppression layer were constructed to reduce the dynamic object interference and more accurately extract the key static features. An adaptive triplet margin loss function (ATML) was proposed by improving the traditional triplet margin loss. The margins were adaptively adjusted according to the sample distribution, solving the problem of suboptimal solution convergence …

Silicosis Evaluation Among Native Spanish-Speaking Workers: An Exploratory Pilot Survey Of Occupational Medicine Providers, Caroline Olsen

Undergraduate Honors Theses

Silicosis is a lung disease caused by inhalation of respirable silica particles. Silicosis is usually characterized by high occupational exposure to silica in industries like mining, sandblasting, construction, and stone fabrication. Recent research showing increasing rates of silicosis among native Spanish-speaking workers demonstrates the need for improved silicosis diagnosis and patient education. While research has been done to understand the epidemiological distribution of silicosis and native Spanish-speaking workers, there has been limited research evaluating occupational medicine providers’ clinical practices related to the diagnosis of silicosis among this population.

This exploratory pilot study evaluated occupational medicine providers’ experiences related to silicosis …

Invitation To Fractional Calculus, Lyubomir I. Boyadzhiev

Open Educational Resources

These lecture notes are designed to provide the students who wish to become familiar with the basic concepts and methods of the Fractional Calculus (FC). The following features can be pointed out:  This text is prepared to be easily read and understood by students making their first steps into this topic. The lecture notes do not presume a background beyond standard college calculus curricula. Readers needing extra help will find tools for bringing their mathematical maturity up in the references and companion links;  The writing style is aimed to be direct and pragmatic. Precise mathematical language is used without excessive …

Book Review: How Drones Fight: How Small Drones Are Revolutionizing Warfare, Chase Metcalf

Parameters Bookshelf – Online Book Reviews

Author: Lars Celander

Reviewed by: Colonel Chase Metcalf, assistant professor, Department of Military Strategy, Planning, and Operations

Celander’s book discusses the new technologies at the forefront of military transformation and offers recommendations for countering them. He also argues that the introduction of drones into warfare has shifted the approach to air superiority. The reviewer critiques How Drones Fight’s lack of depth and narrow focus yet still sees it as an accessible introduction to drones and the future of warfare.

The Influence Of Alongside For Educators, An Ai Wellness Tool, On Educator Well-Being, Amanda Grell

Doctorate in Education

Educator well-being has become an urgent concern in K-12 education, as educators continue to experience chronic stress, emotional exhaustion, and high levels of burnout. Despite these challenges, few school-based interventions offer timely, individualized support that addresses educators’ real-time emotional needs. This mixed-methods study examined the influence of the Alongside for Educators application on educator well-being within middle and high school settings. The purpose of this research was to explore how the tool supported educators across the Coping-Competence-Context (3Cs) framework, including experiences with the application, contextual factors shaping engagement, and changes in well-being. Qualitative findings from 10 interviews revealed that educators …

Key Problems Of Intent Recognition Research: A Survey On Activity, Plan And Goal Recognition, Yi Zhang, Kai Xu, Shuilin Li, Dejun Chen, Yunxiu Zeng, Yong Peng

Journal of System Simulation

Abstract: With the development of artificial intelligence technology, realizing intent recognition in human-computer interaction has become one of the key challenges. In this paper, the current research status of three fields was systematically sorted out, namely activity recognition, plan recognition, and goal recognition, and the progress from the problem proposal to the current development was analyzed. The main research approaches in each field were reviewed, and a survey of research on activity recognition, a development overview of plan recognition, and a retrospective analysis of hotspots in goal recognition were conducted. This general view of the problem helped to clarify …

Implementation Of Sustainable Development Goals In Higher Education, Adam Mehmet Kilic

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study is that higher education institutions play a critical role in advancing the United Nations sustainable development goals (SDGs), yet limited research offers guidance on how institutions can implement the SDGs through systems-oriented strategic planning. Guided by Hofstede’s cultural dimensions and Senge’s systems thinking, the purpose of this qualitative study was to examine the integration of SDGs into its policies and practices to inform effective, transformative approaches at a private Texas university. For this case study design, data were collected through 11 semistructured interviews, a focus group with five administrators and faculty, and …

Let It Ring! And A Red, Red, Rose: Transcriptions Of Brian Nabors’ Orchestral And Chamber Works For Wind Band, Lawrence Williams

LSU Doctoral Dissertations

The goal of this project is to create a wind band transcription of the orchestral work “Let It Ring!” and chamber work “A Red, Red, Rose” by Brian Raphael Nabors. Nabors' music has been described as music that elicits joy and draws deeply from his roots in Birmingham, Alabama, and the rich cultural tapestry of Black musical traditions such as gospel, R&B/neo-soul, funk, and marching band culture. He describes himself as a “fuser of worlds” and “boundary destroyer,” intent on crafting a space where listeners can meet themselves, reflect on deeper questions of humanity, and feel grace.^[1] His compositional …

Exploring Identity Development Of Therapeutic Boarding School Alumni, Travis Philipsen

Walden Dissertations and Doctoral Studies

Research on therapeutic boarding schools (TBS) has largely focused on treatment experiences and immediate adolescent outcomes, with limited attention to identity development after program discharge. The purpose of this qualitative descriptive study was to examine identity development during emerging adulthood in TBS alumni aged 18-24 and to explore how internal strengths and external supports influenced participants’ developmental experiences after leaving TBS. Positive youth development was the guiding theoretical framework, emphasizing the bidirectional relationship between a person and the external ecological assets they access. Semistructured interviews were conducted with six alumni, and data were analyzed using reflexive thematic analysis within a …

Research On Gaussian Splatting Modeling Of Power Equipment In 3d Scenes, Haiying Li, Haonan Xu, Junfang Hao

Journal of System Simulation

Abstract: To address the issues of missing camera poses in captured images and poor reconstruction quality in 3D modeling of power equipment, a 3D Gaussian splatting 3D modeling method for power equipment based on video sequences was proposed. Theffmpeg was adopted to extract video frames at a reduced rate, and the Scharr operator was employed to quantify the sharpness of video frames to screen high-quality images for forming an input dataset, ensuring the completeness of equipment poses and the quality of modeling data. Through multi-view feature point extraction and matching, combined with an incremental structure-from-motion algorithm to optimize and …

Robot Path Planning By Reinforcement Learning Based On Sac3q-Hdm, Dequan Li, Wan Xiong

Journal of System Simulation

Abstract: To address the issues of overestimated and underestimated biases, low sample utilization rate, and the inability to balance exploration and exploitation in reinforcement learning for path planning, an improved SAC method was proposed. The size balance of entropy was explored and utilized through adaptive temperature coefficient adjustment; on the basis of the SAC framework, a triple Critic architecture was introduced to dynamically weight and fuse the minimum and average values through Qvalue uncertainty, balancing overestimated and underestimated biases. A mixed dynamic sampling experience replay buffer was designed; experience data was partitioned based on reward thresholds; sampling ratios were dynamically …

Nerf Optimization Method And Simulation Research Based On Pre-Training And Differentiable Fuzzy Modeling, Yunjng Zhang, Minghui Yang, Hao Wang

Journal of System Simulation

Abstract: To address the challenges of significant geometric modeling errors, severe detail loss, and low training efficiency in neural radiance field(NeRF) reconstruction under defocused blurred input scenarios, this paper proposes two optimization strategies. One strategy is introducing Triplane features generated by the pre-trained LRM as prior knowledge, and combining a lightweight decoder and directional LoRA module to replace large MLP, thereby reducing parameters and shortening convergence time. The second strategy is integrating a differentiable blurring model into the volumetric rendering step. By jointly optimizing the radiation field and spatially variable blurring kernels, reconstruction accuracy under defocused blurred scenarios is enhanced …

Evidence Of Emperor Penguins’ Sensitivity To Sea Ice Fluctuations, Rose T.N. Foster-Dyer, David Iles, Leo Salas, David G. Ainley, Birgitte Mcdonald, Sharon Stammerjohn, Lise Viollat, David Ortega, Annie E. Schmidt, Grant Ballard, Carolynne Hultquist, Jonathan D. Tonkin, Michelle Larue

Faculty Research, Scholarly, and Creative Activity

Using satellite-derived abundance indices over 20 years, we investigated population change among the seven Ross Sea emperor penguin (Aptenodytes forsteri) colonies. We found a 90% probability that the Ross Sea metapopulation had lower springtime attendance between 2005 and 2024 (mean change = -23%; 95% CI: -46 to +20%). We identified two distinct phases of change: slightly increasing 2005 to 2019/2020, followed by a steep decline 2020-2024, resulting in a decrease of approximately 23 000 birds in 5 years or approximately 32% of the regional population. Over the 20 years, the two southernmost colonies, Cape Crozier and Cape Colbeck, increased in …

Speciation Of Inorganic Arsenic In Oxic And In Reducing Groundwaters Using The As(V)-Selective Impas Resin, Martijn Eikelboom, Jay Bullen, Peter S.K. Knappett, Trevor Ferris, Matthieu Carriere, Alexandra Alvarez, Dario Omanovic, Subhamoy Bhowmick, Aaron Torres Huerta, Ramon Vilar, Jack N. Turney, Paul Lewtas, Dominik Weiss, Pascal Salaun

Research outputs 2022 to 2026

Knowledge of arsenic inorganic speciation in groundwaters is critical for optimising water treatment approaches. Here, we characterise the on-site analytical performance of the As(V)-selective ImpAs ion-exchange resin to separate As(V) from As(III) in groundwater with contrasting redox conditions. Field speciation results obtained by ImpAs in the oxic, Fe-poor groundwaters of Guanajuato (Mexico) and in the reducing, Fe-rich groundwaters of West Bengal (India) agreed with voltammetry (slope of 0.91 ± 0.03, r = 0.99, p <  0.001, n = 21). Like for arsenic, oxyanions of Mo, V, U and Cr are retained by ImpAs but their reduced hydroxy forms are not. High As(V) extraction by ImpAs (>95%) was obtained in synthetic groundwater for hundreds of samples without any regeneration, highlighting negligible interactions of major anions such as sulfate, a major advantage over …

Sustainability Tool Inventory, Robert Moore, James O'Donnell

Tools

The purpose of this inventory is to inform Irish organisations, including the private sector, public agencies and semi-states, about Sustainability Tool

Sustainable Guiding Framework Of The Egyptian Rural Development Initiative (Hayah Karima), Eman Badawy Ahmed

Mansoura Engineering Journal

The Hayah Karima initiative launches to improve the standard of living for the most needy community groups across the Egyptian countryside, and it also contributes to improving the quality of services provided to the neediest villages. The research aims to propose a guiding framework for sustainability in villages of the Hayah Karima Initiative to achieve Egypt’s Sustainable Vision 2030. To achieve the goal, the research will study the goals, strategies, and principles of the Hayah Karima Initiative, the Egypt Vision 2030, COP 27, the sustainability evaluation criteria, and the Green Villages Initiative. Consequentially, in addition to A questionnaire to measure …

Kuya Guard Needs Help!: Replanning Traffic Utility And Road Marking Placement As A Congestion Alleviant In Laguna Boulevard, Laguna, Robert Anthony L. Amazona, Harley L. Buensalida, Erian Jeshua F. Margallo

DLSU Senior High School Research Congress Conference Proceedings

Traffic congestion is a widespread issue for commuters, influenced by multiple factors and variables. One such area affected is Laguna Boulevard, a critical road connecting multiple essential facilities in Biñan and Sta. Rosa, including Laguna Technopark and educational institutions like De La Salle University Laguna Campus and Caritas Don Bosco School. The roadway experiences significant congestion during peak hours due to high traffic volumes along segments and intersections impacted by uncoordinated road expansions, inconsistent transitions between one-way and two-way flows, limited sight distances, and obstructive roadside elements that collectively disrupt vehicular movement and compromise safety. This study proposes a replanned …

Cost-Effective Critical Path Management Of Utilities And Right-Of-Way, Kip Bunch, Kenny Franklin, Daniel Mcmurtry

Purdue Road School

ROW and Utilities are two essential elements that affect both cost and schedule. Because these disciplines involve third parties who may not always share the project’s goals, significant attention is warranted to minimize unnecessary complications that can result in cost and schedule overruns. This session will focus on the intersections of ROW and utilities, providing participants with tools and tips to reduce project risk and build reliability in delivery.

Enhancing Safe Streets And Roads For All (Ss4a) Safety Plans Through Stakeholder Input, Neal Styka, Aaron Bubb

Purdue Road School

Developing a successful Safe Streets and Roads for All (SS4A) safety action plan requires meaningful collaboration across diverse groups. While technical advisory committees are valuable, participation and feedback are not always guaranteed making outreach to organizations and attendance at community events all the more important to ensure input can truly shape stronger, more responsive safety plans. This presentation will highlight how one-on-one outreach and direct engagement build trust, expand community input, and reveal safety concerns not reflected in crash data.

Diverging Diamond Interchanges Lessons Learned: Design Refinements And Performance, Nathaniel Shellhamer, Daniel Mccoy, Jack Gallagher

Purdue Road School

This presentation will share an overview of INDOT’s experience with the design of diverging diamond interchanges (DDIs). Specific discussion will focus on design refinements being made in the most recent DDIs in Indiana, as well as lessons learned from existing DDIs in the areas of geometrics, operations and performance, and human factors/driver behavior. We will also review case studies and before-and-after analyses of existing DDIs.