Digital Commons Network^™

Research On A Credibility Information Management Method Of Simulation Modeling, Qiming Gu, Jiazhi Chen, Guoyan Cao, Chenchu Zhou, Dengxiu Yu, Haifeng Hu

Journal of System Simulation

Abstract: A proposed method for managing credibility information in simulation modeling draws insights from the NASA-STD-7009 standard for modeling and simulation. From the perspective of credibility information recording, definition, and assessment, this method aims to address the core issue of whether the credibility requirements are met in simulation modeling research. A simulation system credibility information extraction tool is designed to extract three types of information including modeling credibility information, data credibility information, and development process credibility information, enabling recording, definition, and traceability of credibility information in simulation models. Taking a servo system credibility evaluation as an example, a simulation system …

Optimizing The Sustainability Of Asphalt Pavements Through Incorporating Crumb Rubber In High-Modulus Asphalt Concrete (Hmac) Mixtures In Louisiana, Heena Dhasmana, Marwa Hassan, Mohamed Abdelmageed

Publications

Asphalt mixtures are traditionally produced using the Superpave mix design method, which emphasizes volumetric properties; however, current research is shifting toward performance-based and sustainable approaches. Within this context, the French High Modulus Asphalt Concrete (HMAC) design focuses on achieving specific performance criteria for workability, stiffness, rutting resistance, and fatigue behavior, employing a hard binder with higher asphalt content and fewer air voids than Superpave mixes. In this study, HMAC mixtures were developed using crumb rubber and locally sourced Louisiana materials. Five HMAC mixes using PG 76-22 and PG 67-22 binders with 10% and 20% crumb rubber were prepared, along with …

Finite Volume Incompressible Lattice Boltzmann Framework For Non-Newtonian Flow Simulations In Complex Geometries, Akshay Dongre, John Ryan Murdock, Song Lin Yang

Michigan Tech Publications

Arterial diseases are a leading cause of morbidity worldwide, necessitating the development of robust simulation tools to understand their progression mechanisms. In this study, we present a finite volume solver based on the incompressible lattice Boltzmann method (iLBM) to model complex cardiovascular flows. Standard LBM suffers from compressibility errors and is constrained to uniform Cartesian meshes, limiting its applicability to realistic vascular geometries. To address these issues, we developed an incompressible LBM scheme that recovers the incompressible Navier–Stokes equations (NSEs) and integrated it into a finite volume (FV) framework to handle unstructured meshes while retaining the simplicity of the LBM …

Towards Universal Chemosensory Testing: Needs, Barriers, And Opportunities, Steven D. Munger, Kai Zhao, Linda A. Barlow, Duncan Boak, Katie Boateng, Susan E. Coldwell, Pamela Dalton, Richard L. Doty, Jennifer E. Douglas, Valerie Duffy, Frank A. Franklin, John E. Hayes, Howard J. Hoffman, Patrice Hubert, Paule V. Joseph, Jeb M. Justice, Joshua M. Levy, Julie A. Mennella, Marianna Obrist, M. Yanina Pepino, Jayant M. Pinto, Edmund A. Pribitkin, Christopher T. Simons, Mark W. Albers, Valentina Parma

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

Millions of people in the United States experience a reduced or distorted ability to smell or taste. Chemosensory disorders such as anosmia (the inability to smell), parosmia (distorted smell), or dysgeusia (altered taste) have major impacts on health and quality of life including difficulty sensing dangers such as fire or spoilage, a diminished palatability of food and drink that can negatively influence diet and nutrition, feelings of social isolation, and an increased incidence of frailty, anxiety, and depression. Smell or taste dysfunction can also be symptoms of other health issues, including sinonasal disease, cancer, or neurodegenerative disease. Aging adults are …

Hierarchical Optimal Scheduling Of Integrated Energy System With Electric Vehicles Based On Empc, Miaomiao Ma, Zijuan Long, Zhiwei Ren, Yongqiang Cheng

Journal of System Simulation

Abstract: A hierarchical real-time optimization (HRTO) based on economic model predictive control is designed to address the issues of randomness and uncertainty of renewable energy and demand-side in integrated energy systems (IES) with electric vehicles. The optimization problem of the entire system is divided into three sub-problems: day-ahead rolling optimization, real-time rolling optimization, and tracking control. The day-ahead optimization strategy based on economic model predictive control is constructed to ensure that the operational units can meet users' demands. The optimal steady-state operating points of the entire IES are obtained through the real-time optimization layer. The tracking model predictive controller is …

Method For Dynamic Coalition Formation Of Wargame Agent For Force Cooperation, Changhua Yao, Shanning Bi, Rufei Ma, Xiaohan Yu, Jiaqiang Li, Jinli Chen

Journal of System Simulation

Abstract: Regarding the issue of cooperative task alliance formation and adjustment in multi-agent dynamic confrontation scenarios at the tactical level, this method comprehensively considers factors such as target value, task allocation, and operator characteristics, as well as the benefits and costs of executing different types of tasks. we propose a targeted force coordination adjustment for dynamic task alliance formation based on behavioral constraints. The “MiaoSuan-Wise Winning Instant Strategy Human-Computer Confrontation Platform” of Chinese Academy of Sciences (CAS) is used as an experimental platform to conduct confrontation experiments. The experiment demonstrates that the proposed method improves the dynamic coordination ability of …

Research On Decision-Making Of Autonomous Driving In Highway Environment Based On Knowledge And Large Language Model, Xiang Wang, Guozhen Tan

Journal of System Simulation

Abstract: Aiming at the lack of continuous learning and interpretability of current autonomous driving system, a decision model with cognition, generalization and learning ability is proposed. The model utilizes large language model (LLM) and attention mechanisms to understand and explain driving scenes. the system can accumulate and learn from driving experiences, continuously improving its decisionmaking ability. In a simulation environment, the closed-loop test decision model is applied in high-speed scenarios.The simulation results show that the success rate of the knowledge-driven model is 7% and 4% higher than those of the rule-based and data-driven methods. Additionally, the model exhibits generalization and …

Reliability Of Cazro3 And Mgo Capacitors At High Temperatures, Alan Devoe, Hung Trinh, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

Calcium zirconate and magnesium oxide have both been found to have useful dielectric properties at high temperatures. Multilayer ceramic capacitors (MLCCs) were made with these dielectrics and platinum electrodes. The relationship between the lifespan (mean-time to failure) and applied voltage was determined using Weibull statistics. CaZrO₃ capacitors were tested between 550◦C and600◦C while MgO capacitors were tested between 600◦C and 650◦C. The temperature coefficient Ea and the voltage coefficient n of the Prokopowicz Vaskas equation were determined under various test conditions. Activation energiesforcalciumzirconateandmagnesiumoxidewere3.25eVand3.48eV, respectively. Resistance degradation of CaZrO₃ and MgO capacitors, tested at 600◦Cand250V, were compared.

Protein Composition Of The Foam Nest Of Rhacophorus Reinwardtii (Schlegel, 1840) (Anura: Rhacophoridae), With Notes On Breeding Sites Characteristics And Biomedical Applications, Muhammad Asyraf Rijalullah, Nia Kurniawan, Nia Kurnianingsih

Turkish Journal of Zoology

Rhacophorus reinwardtii is endemic to Java Island and is currently experiencing a population decline. Therefore, the sustainability of its offspring is important to prevent species extinction. Foam nest as a biosurfactant structure plays a crucial role as egg protection through major protein components function. However, studies on the functional proteins of rhacophoridae foam nests are limited. Thus, this study aims to uncover the protein-specific components and functions of the R. reinwardtii foam nest. Additionally, the characteristics of breeding sites, including abiotic factors, were also assessed. Total protein concentration of the R. reinwardtii foam nest was determined to be 747.7 μg/mL …

Removal Of Diisopropylamine From Water Using Ultraviolet- And Thermal-Activated Persulfate Degradation, Eric Soliz

Masters Theses (Archived)

UV light-activated persulfate degradation of diisopropylamine (DIPA) was explored as a means for improving water quality in product water derived from oil and natural gas produced water. A set of temperature swing solvent extraction (TSSE) tests was conducted to investigate the effect of varying ratios of DIPA to feed ratios on water recovery and conductivity and also to reinforce available data suggesting that TSSE may remove saline ions from synthetic produced water enough to improve water quality sufficient enough at sufficient quantities enough for reuse. TSSE may result in residual DIPA remaining in the product water. A three-part test to …

Evaluation Of Schoenoplectus Californicus In An Artificial System For E. Coli Removal, Kimia Ahmadiyehyazdi

Masters Theses (Archived)

Green technologies and nature-based solutions like constructed wetlands have be come more popular due to their environmentally friendly approach to remediation, low cost of construction, and maintenance. Also, they have shown efficiency in removing a wide range of contaminants. However, choosing a suitable aquatic plant for this system is one of the questions that should be answered wisely. Schoenoplectus californicus– Giant Bulrush is an aquatic plant that was tested in this controlled constructed wetland, and the final concentration of the targeted microbial contamination, which is E. coli, was reduced remarkably. Also, for this study, soil was removed from the …

Investigating Potential Sugar-Related Uncertainties In A Proxy For Ancient Co2, Liam Cooper

Student Theses and Dissertations

The ε_p proxy for ancient pCO₂ can potentially estimate ancient pCO₂ as from the evolution of rubisco-based photosynthesis, using the difference in stable carbon isotope ratios (δ¹³C) between fixed and inorganic carbon, assuming this difference is proportional to pCO₂. This study aims to address uncertainty with the use of photosynthetic microbes in proxies for ancient pCO₂. While previous studies address uncertainties related to the δ¹³C of initial fixed photosynthate (e.g., growth rate), we aim to address the effects of downstream carbon allocation. Specifically, if a significant fraction of fixed …

The Hecks Angels: A Look At The City Of New York's Electric Motorcycle Community, Mckenzie A. Corey

Capstones

Motorcycles are a common mode of transportation globally, but within the U.S., they tend to imply a certain demeanor—maybe someone who's brash or a risk taker. I mean, it makes sense. You've got to be a bit daring to ride off into the sunset on something that screams when it shifts gears and begs to be revved at a red light. But in New York City electric motorcycle enthusiasts appear to have slapped a fresh coat of paint on the old concept of what it means to live a life on two wheels.

Design And Realization Of Integrated Energy System Dynamic Stability Simulation And Steady-State Simulation System, Guixiong He, Xiaoqiang Jia, Shufeng Dong, Yonglu Han, Yonghua Chen, Yiming Zheng

Journal of System Simulation

Abstract: Aiming for“carbon peak”and“carbon neutrality”, the energy sector is undergoing significant reform. To address energy flow and planning optimization in integrated energy systems, a comprehensive simulation platform is developed. This platform combines physical and digital simulations with real-world validation and is modular in design, It includes an integrated energy model library, energy flow optimization, modeling management, real-time simulation, and energy monitoring. The platform enhances system safety, stability, and economic efficiency, While also improving planning and energy management. The paper analyzes the platform′s functional and physical architecture, introduces key modules, establishes dynamic and steady-state model libraries, and optimizes energy flow using …

Survey On Large Language Agent Technologies For Intelligent Game Theoretic Decision-Making, Xueqiang Gu, Junren Luo, Yanzhong Zhou, Wanpeng Zhang

Journal of System Simulation

Abstract: The development of artificial intelligence technology has greatly promoted the transformation of the solving paradigm of intelligent game decision problems. From optimal solution, equilibrium solution to adaptive variable solution, how to build an intelligent game adaptive decision agent based on generative large model is full of challenges. The force distribution and multi-entity coordination in the game strong confrontation environment are the core issues in the study of troop deployment and operational coordination. Based on the methods of strategy reinforcement learning, strategy game tree search and strategy preference voting based on skill, ranking and preference meta-game model construction, a large …

Improved Hybrid Optimization Algorithm For Multi-Objective Ipps Problem, Wenbin Gu, Jiexia Qing, Jie Fang, Siqi Liu

Journal of System Simulation

Abstract: For the problem of multi-objective integrated process planning and scheduling (MOIPPS), an improved hybrid optimization algorithm considering global and local optimum is proposed to optimize two objectives about minimum makespan and energy consumption. A multi-objective problem model and solution framework are established by analyzing the difference and connection between process planning and scheduling in integrated system. A hybrid optimization algorithm is proposed for the two-stage integration problem. In the process planning stage, global search algorithm is employed to provide a variety of process schemes for the integrated system and to ensure the global search performance of the integrated algorithm. …

Research On Modeling, Optimization And Application Of Aeroengine Oil System, Shijie Huang, Zhensheng Zhang, Jing Cai, Rui Zhang

Journal of System Simulation

Abstract: In response to the high cost and long cycle of using experimental methods for monitoring, diagnosing, and predicting lubricating oil system, a simulation model for oil system is constructed and optimized, and the application of the model in health management of oil system is proposed. Based on the physical characteristics of the components in the oil system, subsystem models for ventilation, oil supply, thermodynamics, and oil return are constructed using a certain engine oil system as an example, and the whole oil system model is constructed and solved iteratively. The model is optimized by combining particle swarm optimization and …

Robot Path Planning Based On Ant Colony Algorithm With Dual Heuristic Information, Xiaohui Zhou, Yanqiang Li, Yong Wang, Decai Zhao, Xiaoyao Yang

Journal of System Simulation

Abstract: The traditional ant colony algorithm is characterized by a slow convergence speed, numerous turning points, and a tendency to fall into local minima. These characteristics make the algorithm less effective for path planning research in mobile robotics. Therefore, this paper proposes an improved ant colony algorithm and applies it to global path planning for robots. The A* algorithm is used to quickly plan a path and increase the initial pheromone of that path, so that the improved algorithm is guided by the global path during the local search, preventing excessive ants from entering dead ends, and reducing the randomness …

Research On Modeling Methods For Industrial Core Capability Architecture Based On The Dodaf Framework, Xiaoqiang Dou, Yan Liu, Zhilong Zhao, Chao Fu, Fulin Zhang, Shanshan Zou

Journal of System Simulation

Abstract: Against the backdrop of the industrial sector actively pursuing digital capability building, this paper describes the necessity and current status of architecture theory methods guiding industrial core capability construction. It proposes the conceptual connotation of industrial core capability architecture and four key modeling elements. Based on DoDAF, it conducts the overall design of industrial core capability architecture. By integrating systems engineering principles, it establishes a five-stage process model for capability-building activities, embedding critical elements such as capability/business/ application/data/technology architecture viewpoint, and explains data model design, and logical compositions of various viewpoints. By selecting a capability building project in a …

A Simulating Framework Construction Method About New Distributed Confrontation, Zhipeng Liu, Yanyang Gu, Baojie Hu, Fangjun He, Zhipeng Fan

Journal of System Simulation

Abstract: The new distributed confrontation in future emphasizes systematic combat and flexible use of power in the resistance environment. To study and analyze the potential threats of such new forms of distributed confrontation, this paper proposes a system confrontation strategy focused on decisionmaking confrontation from the perspective of network and electromagnetic space. In addition, a highly flexible and saleable behavior model adversarial framework is proposed. By parameterizing the network and electrical countermeasure strategy, an adversarial model based on typical airspace scenarios is designed, and the confrontation effectiveness of traditional multifunctional platforms and distributed units is quantitatively compared and analyzed. The …

Predicting Strut Geometry Of Pcl And Dmso2 Biocomposites From Nozzle To Deposition In Bio-Scaffold 3d Printing, Jae-Won Jang, Kyung-Eun Min, Jun-Hee Park, Cheolhee Kim, Sung Yi

Mechanical and Materials Engineering Faculty Publications and Presentations

The field of tissue engineering increasingly demands accurate predictive models to optimize the 3D printing process of bio-scaffolds. This study presents a unified numerical model that predicts extrusion velocity and strut diameter based on printing conditions and the material properties of polycaprolactone (PCL) and dimethyl sulfone (DMSO2) composites. The extrusion velocity was simulated using Navier–Stokes equations, while the strut diameter was calculated via a surface energy model. For PCL, the extrusion velocity showed a temperature coefficient of 23.3%/°C and a pressure coefficient of 19.1% per 100 kPa; the strut diameter exhibited a temperature coefficient of 21.6%/°C and a pressure coefficient …

Detecting And Analyzing Frequency Events In Power Systems Using Tunable Parameters-Based Algorithms: Development, Optimization, And Analysis, Hussain A. Alghamdi

Dissertations and Theses

This dissertation addresses the challenge of detecting frequency events in diverse power systems by enhancing existing frequency event detection methods through detection process modifications and developing unique tunable parameters. Since system characteristics differ across regions, frequency event detection algorithms must be customized by domain experts for each balancing area using tunable parameters. By optimizing these parameters for specific power system, the algorithms can accurately detect frequency events and can also be used for further analysis to determine trends in frequency events over time, ensuring system stability.

This dissertation focuses on the enhancement and optimization of frequency event detection algorithms. These …

Similarity Metrics, Metrics, And Conditionally Negative Definite Functions, Daniel Alpay, Liora Mayats-Alpay

Mathematics, Physics, and Computer Science Faculty Articles and Research

We give an example of a similarity metric which is not positive definite, and present a general theorem which provides a large family of similarity metrics which are positive definite.

Execution Of Commands Using An Ai Engine, Nixon Aw, Bryson Lee, Yufeng Zhuang, Anita Wan

Defensive Publications Series

One embodiment includes a method comprising: training an artificial intelligence (AI) engine with successfully executed prior action data; receiving, by the AI engine, a request to perform an action; identifying, by the AI engine, one or more attributes to execute the action; obtaining, by the AI engine, a confirmation of the one or more attributes; identifying, by the AI engine, a plurality of APIs to perform the action as defined by the one or more attributes; identifying, by the AI engine, a sequence of execution for the plurality of APIs to perform the action; and executing, by the AI engine, …

The Chinese American Experience, Katherine Chan Sorensen

2025 Symposium

This paper examines and identifies conflicts of second-generation Chinese Americans, focusing on the interplay of cultural values, gender roles, and societal stereotypes. Through an interview with Connor Chan, a 23-year-old Chinese American, the study illuminates the tension between traditional Chinese patriarchy and evolving American norms. Intergenerational conflicts arising from differing acculturation experiences are explored, highlighting the emotional strain of navigating two distinct cultural landscapes.

The research addresses the persistence of traditional gender roles, where male breadwinners are emphasized, contrasting with Americas idea of female empowerment. This dissonance creates internal and external pressures for second-generation individuals. Furthermore, the paper confronts the …

Effects Of Nicotine On Dopamine Signaling In Sprague Dawley Rats, Dominik Sretenovic, Kyle A. Marsh, Sabin Mulch, Gahnan Schaff, Anthony Jones, Sukhman Bains, David Daberkow

2025 Symposium

Nicotine influences dopamine (DA) release in the nucleus accumbens, a brain region associated with reward processing and addiction. This study examined nicotine’s effects on DA signaling using fast-scan cyclic voltammetry (FSCV) in anesthetized rats. Electrodes were implanted to stimulate DA release in the medial forebrain bundle and record signals in the ventral striatum. After administering saline or nicotine, DA levels were monitored in real-time, and electrode placement was later verified through histological analysis. Saline-treated rats showed minor DA fluctuations, with a peak signal detected at 50 minutes, while technical difficulties prevented complete nicotine data collection. However, previous experiments indicated significantly …

Investigating Empathy In Rats: Behavioral Responses To Distress, Isabella Sophia Avery, Kolette Stuhmer, Jeffrey Schell

2025 Symposium

INTRODUCTION: Empathy can be defined as the ability to recognize, understand, and match one’s emotional state to that of another. Previous research has suggested that emotional contagion produces empathetic responses among familiar rats when their cage mate is exposed to a stressor. This study seeks to further explore this relationship and compare responses among familiar vs. unfamiliar rats. METHODS: Male and female Sprague-Dawley rats were divided into cohorts including an observer, demonstrator, and stranger rat. The demonstrator was exposed to shock paired with a tone and the demonstrator, its cage mate, was only exposed a tone but no shock. The …

Washington Report: Aicpa Comments On Flat-Rate Income Tax And Alternative Tax Systems, Kenneth F. Thomas, William R. Stromsem

Tax Adviser

No abstract provided.

Nigerian Democratization And Internal Party Contest For Leadership, Salihu Moh. Lukman

Journal of African Policy Studies

It was the American journalist and political commentator, Fareed Zakaria, in the book The Future of Freedom: Illiberal Democracy at Home and Abroad, who argued that democratization everywhere is shifting power downward. According to him, the process of democratization goes far beyond politics and result in hierarchies, “breaking down, closed systems, are opening up, and pressures from the masses are now the primary engine of social change. Democracy has gone far from being a form of government to a way of life.” The role of political parties all over the world in facilitating the shift of power to the people …

The Political Economy Of Pension Reforms: An Analysis Of Policy Design And Practice In Ghana, Michael Kpessa-Whyte

Journal of African Policy Studies

There is a gradual move away in African pension policy from the hitherto predominantly pay-as-you-go social insurance schemes to new social security policies that prioritize private pension. But in African economies where capital market is underdeveloped and private sector is generally fragile, the shift to private pensions has implications for income security of the elderly. This study examines the design and practice of three-tier pension scheme with dual private pillars introduced a little over a decade ago. While discussing the various categories of private pension schemes that operate under the three-tier pension plan, it echoes the view that, the design …