Digital Commons Network^™

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 …

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 …

Predicting Patient No-Show Rate In Healthcare To Improve Operational Excellence, Saeed Ahmed Al Wari

Theses

The challenge of integrating no-show predictive models into healthcare environments is complex and multifaceted, extending far beyond the distinct technical challenge of building accurate models. This thesis will discuss more on the subject of incorporating machine learning into healthcare. While algorithmic accuracy and model validation are critical, they are a mere sub-system of a much larger operational, technological, ethical, legal and human ecosystem. Predictive models face mass deployment in healthcare systems which are complex networks of stakeholders across strict regulatory frameworks and deeply embedded workflows (AlMuhaideb et al., 2019). However, for these models to result in long term and real …

Predicting Customer Churn In E-Commerce, Hind Tawfiq Kazim

Theses

Customer retention has become a critical focus for businesses seeking to sustain growth and profitability in an increasingly competitive market. In this thesis, advanced machine learning techniques are used to develop a data-driven churn prediction model for Majid Al Futtaim's customer base. In an e-commerce environment, the research focuses on identifying the key transactional and behavioral factors that influence customer churn, based on customer relationship management theory. The study is contextualized in the context of increased digital consumer engagement and high customer acquisition costs, which make retaining existing customers more cost- effective than acquiring new ones. Our primary research questions …

Future Of Inclusive Education In The Uae: Supporting Learning Disabilities In Higher Education, Christina Ayub

Theses

Inclusive education is a critical component of higher education, ensuring that students with learning disabilities (LDs) receive equitable access to academic opportunities and institutional support. While global advancements in inclusive education have been significant, the UAE’s higher education sector faces unique challenges in accommodating students with LDs, particularly as technological disruptions, demographic shifts, and evolving policies reshape the broader educational landscape. This research investigates how a higher education institution in the UAE, such as RIT Dubai, might adapt its support systems for students with LDs, such as ADHD, dyslexia, dyscalculia, dysgraphia, and dyspraxia, under a range of plausible future conditions …

Book Review Of, Participatory Engineering Of Algorithmic Socialtechnologies: An Extended Book Review Of David G. Robinson's Voices Inthe Code, Rajesh Venkatachalapathy

Complex Systems Faculty Publications and Presentations

David G. Robinson’s Voices in the Code, reviewed here, approaches the issue of governance and regulation of algorithmic social technologies with a case study orientation that offers a grounding in the details, illuminating the fundamentally sociological and processual nature of modern governance issues that are mostly missed or left implicit in academic, regulatory, and legislative discussions. This important book urges us to design adaptive, malleable, and evolvable participatory organizational structures instead. Accepting the author’s invitation to carry the torch forward, this review builds on and extends the book’s arguments by presenting broad and transferable insights on regulation and governance …

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 …

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 …

Tax Clinic, Morris Engel

Tax Adviser

No abstract provided.

Taxable Years Of S Corporations-—Ssra Offers Limited Flexibility In Selection, Robert W. Jamison

Tax Adviser

No abstract provided.

Big Data As Potential Tool For Success In Developing Countries, Jean-Claude Pedjeu, Aurore J. Kamssu, Jeffrey S. Siepke-Sambo

Journal of African Policy Studies

Big data and the computer technology to analyze it are said to be one of the top 10 revolutions in the coming decade. While the developed world is making strides in the use of big data for decision making purposes, the Low-income countries (LIC) or poor countries and some medium-income countries (MIC) or developing countries are lacking behind in their collection and use of digital data to aid decision making. This is especially the case with many businesses and government agencies that have the potential to benefit in their policy designs and implementations from big data. The purpose of this …

Placed In Service, Randy Rhoades

Tax Adviser

No abstract provided.

Tax Clinic, Leon M. Nad

Tax Adviser

No abstract provided.

Sustainability In The Cruising Industry: Innovations In Air Quality, Energy Efficiency, And Waste Management, Fikret Durmus, Mi Ran Kim

ICHRIE Research Reports

The cruise industry, a cornerstone of the global hospitality and tourism sector, faces increasing scrutiny over its environmental impact. As passenger numbers grow, so does the industry's responsibility to adopt sustainable practices. This report examines key innovations in air quality management, energy efficiency, and waste management, highlighting the industry's transition from historically high emissions and waste production to advanced sustainability initiatives. Key focus areas include evolving maritime regulations, adopting cleaner propulsion technologies, integrating energy-efficient solutions, and improving waste treatment practices. Findings indicate that industry leaders are investing in liquefied natural gas engines, exhaust gas cleaning systems, and onshore power supply …

Generation Transcritical Flow Influenced By Dissipation Over A Hole, M. Daher Albalwi

Yanbu Journal of Engineering and Science

Transcritical flow of a stratified fluid over an obstacle for negative forcing amplitude (hole) that generation upstream and downstream, connected by an unsteady solution is examined. In the weakly nonlinear, weakly dispersive regime, the problem is formulated in the forced Korteweg-de Vries-Burgers framework. This is done by including the influence of the viscosity of the fluid beyond the Korteweg-de Vries approximation. The results show that the influence of viscosity is crucial in determining various wave properties, including the amplitudes of solitary waves in the upstream and downstream directions, as well as the widths of the bores. We focused here on …

Genetic Algorithms From A Biblical Perspective, Richard L. Halterman Phd

The Journal of Biblical Foundations of Faith and Learning

The dominant opinion expressed by the scientific community is that life on earth as we observe it today evolved over millions of years from more primitive organisms. Its adherents insist that naturalist forces drive this process, and it is unaided by any form of intelligent oversight. In contrast, a biblical worldview upholds the Bible’s account of a six-day special creation by an all-powerful Creator. The competition between these two worldviews appears unresolvable. Complete resolution would require time travel to absolutely certify the winner. Indirect evidence can sway opinions, but individuals do not always apply sound logical reasoning when forming their …

Commencement: Conferral Of Doctoral Degrees May 19, 2025, New Jersey Institute Of Technology

Commencement Programs

Program for the commencement conferral of Doctoral degrees. The ceremony took place on Monday, May 19, 2025.

Commencement: Conferral Of Master’S Degrees May 19, 2025, New Jersey Institute Of Technology

Commencement Programs

Program for the commencement conferral of Masters degrees. The ceremony took place on Monday, May 19, 2025.

Dynamical Evolution Of Kinematic Properties: The Steady Forcing Case, A.D. Kirwan, Jr, Helga Huntley, James Turbett

College of Science & Mathematics Departmental Research

Observations from recent large submesoscale drifter deployments in the ocean exhibit complicated time series of the kinematic properties (KP) — divergence, vorticity, shear and normal strain rates. These are challenging to interpret in the complex ocean-atmosphere system. The evolution equations for the four KP are derived from the two-dimensional momentum conservation equations on the f -plane. The resulting equations capture the submesoscale motion of drifters along fixed ocean surfaces, with time and space scales on the order of days and kilometers. They are linearly coupled through the Coriolis term and nonlinearly coupled through the horizontal divergence. The solution space, even …

Towards Multi-Modal Multi-Document Understanding Capabilities In Foundation Models, Chuhan Li

Computer Science Theses

Contemporary foundation models are predominantly evaluated on isolated documentor image-understanding tasks, thereby overlooking the inherent multimodal multi-document reasoning that characterizes scientific inquiry. To bridge this gap, M3SCIQA is introduced, aMulti-Modal,Multi-document Scientific Question Answering benchmark crafted to test foundation models in practical scientific research settings. A comprehensive evaluation of 18 leading foundation models shows a substantial performance gap between models and human experts. Detailed error analysis reveals persistent deficiencies in both scientific visual reasoning tasks and long-range retrieval. Addressing the former, SPACECUE offers a concise yet effective visual prompting that overlays grid coordinates and Semantic-SAM masks …

Towards Practical And Real-Time Decoding Of Quantum Hypergraph Codes, Binghong (Leo) Li

Computer Science Theses

Quantum error correction (QEC) enables scalable quantum computation by detecting and correcting physical errors. However, decoding remains a key bottleneck—particularly for quantum low-density parity-check (qLDPC) codes, whose hypergraph structures demand complex reasoning. Most existing decoders are either too slow for real-time use or lack formal guarantees, and often struggle to generalize across diverse quantum hardware.

This thesis introduces the Minimum-Weight Parity Factor (MWPF) algorithm, a unified and certifiable decoding formulation that extends minimum-weight perfect matching to general hypergraph-based stabilizer codes. We focus on making MWPF practical and performant through a two-phase decoding architecture, consisting of a fast search phase and …

B-Spline Representations For Hyperspectral Inverse Rendering, Rachel Liang

Computer Science Theses

This work explores the use of a B-spline-based approach for hyperspectral inverse rendering from RGB images, experimenting on both spectral and geometric reconstruction. While the B-spline method is less accurate than brute-force optimization, it offers significant improvements in computational efficiency- reducing both runtime and memory usage.

Our experiments show that the B-spline representation can approximate smooth spectral data effectively but struggles with sharper spectral features unless more knots are introduced. Notably, wavelengths near the edges of the visible spectrum (around 400 nm and 700 nm) were less stable during optimization, reflecting lower convergence reliability. Despite these challenges, the final RGB …

Illinois State University Salaries Fy2025 Update, Illinois State University

Illinois State University Salaries

Includes two sections: administrative professional and civil service salaries, and non-tenure track, tenure track, and faculty associate salaries.

Sequence Conservation Of Suppressor Of Ikk Epsilon Phosphorylation Sites, Kaydence M. Isaacs

Undergraduate Honors Theses

Suppressor of IKK epsilon (SIKE) is a protein that is implicated in immune response signaling pathways. SIKE interaction networks suggest roles in cell motility and macromolecular complexes mediating kinase/phosphatase activity. In this project, we aim to better understand the function of SIKE by analyzing amino acid sequences across different species. In human SIKE, viral infection leads to phosphorylation of SIKE at defined serine residues. Comparing SIKE sequences, and specifically these phosphorylation sites, allows us to discover its ancestral connections to innate immune function. This has particular applications in bridging the evolutionary gap between fungi and metazoa SIKE sequences. Multiple sequence …

Decarbonized Shipping: Is It The Best Sustainable Shipping Solution?, Olivia Akers

Sustainable Supply Chain Management

In the era of globalization and the fourth industrial revolution, the maritime shipping industry has grown exponentially in the twenty-first century. In fact, 90% of today’s goods travel across the ocean before reaching the end consumer, meaning that ocean transportation of goods contributes significantly to overall environmental impacts on the ocean. Awareness of this impact has increased as humans strive to eliminate unsustainable practices in an effort to protect the long term health of our planet. Decarbonized shipping has been proposed as a possible solution for unsustainable shipping practices, and the goal of this chapter is to evaluate this solution …

Using Robot Toys To Play With Math, Space, And Coding: Children's Development Of Computational And Mathematical Thinking, Jessica Shumway, Jody Clarke-Midura, Deborah Silvis, Boram Lee, Anahita Ashineh, Camille Lund, Asmaa Yazidi Alaoui, Alissan Sarturato Firão, Makayla Rogers

Spatial Activities and Robot Coding (SPARC)

• CT as "the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out" (Wing, 2014)

Early Childhood Teachers’ Perspectives On The Challenges Of Closing The African American Achievement Gap, Cherie Mcelroy-Burch

Walden Dissertations and Doctoral Studies

There is a persistent academic achievement gap between African American students and their White peers in Grades 1–3. Federal and state governments have made numerous efforts, implemented policy changes, and allocated more resources to struggling school districts, yet the disparity in academic achievement persists. The purpose of this basic qualitative study was to explore early childhood teachers’ perspectives on the challenges of closing the achievement gap between African American students and their White peers in Grades 1–3. The conceptual framework for this study was based on Coll and Lamberty’s model of developmental competencies in minority children. The research question for …

Design Of Auger Pyrolizer For Biochar Production Through Slow Pyrolysis, José-Daniel García, Farid Chejne, Juan-Carlos Maya, Diana Giraldo, Michell Ortiz

Bio-Char IV

Please click Additional Files below to see the full abstract