Digital Commons Network^™

Multi-Parameter Assessment Of Land Degradation Vulnerability In Ranya And Pshdar Regions Using Geospatial Techniques, Kaifi Chomani

Iraqi Journal of Architecture and Planning

Land degradation poses a significant threat to the stability of the ecological and socio-environmental characteristics of the Ranya and Pshdar (RP) region in the Kurdistan Region of Iraq (KRI). The fragile environmental and physical dynamics of the RP regions make it considerably vulnerable to land degradation. This study integrates remote sensing, Geographic Information Systems (GIS), and the Analytic Hierarchy Process (AHP) to address this issue, as these techniques provide a robust framework for mapping land degradation vulnerability in the RP regions of the Kurdistan Region of Iraq (KRI). Ten critical environmental and physical parameters were analyzed and considered to model …

The Effect Of Morphological Transformations On The Emergence Of Complex Urban Systems: The Historical Karkh Urban Systems In Baghdad Is A Ase Study, Sara Abdul Aalie Rasheed, Wahda Shuker Al-Hinkawi

Iraqi Journal of Architecture and Planning

Cities emerge as multi-component urban systems that exhibit complexity and synergy and are shaped by morphological transformations in their structural composition. From here, the research idea was launched to demonstrate the role of morphological transformations in the emergence of urban systems with multiple characteristics and their integration to form the complex urban system. The research aims to demonstrate the impact of transformations on the emergence of the complex urban system, a fundamental characteristic of the city's growth and development, which comprises different urban structures that arise over time. The research adopted a qualitative descriptive-analytical approach and applied it to a …

Advanced Glass Between Technology & Ideology, Enas Salim Abdulahaad, Oday Abaas Abood

Iraqi Journal of Architecture and Planning

Advances in glass technology have radically transformed contemporary architecture, highlighting the research problem of ``The Ambiguity of Advanced Glass' Position in Twenty-First-Century Architecture.'' The research aims to uncover the transformation of advanced glass from a technological to an ideological dimension. The research hypothesizes that ``contemporary architecture has reshaped its relationship with humans, society, and nature through its use of advanced glass.'' The research adopts a descriptive and analytical methodology based on specialized literature and global and regional architectural practices, revealing the technical characteristics and symbolic meanings inherent in glass applications. The research concludes that contemporary architecture has redefined its relationship …

Posthuman Architecture And The Machine: A Theoretical Approach To The Impacts Of Artificial Intelligence On Architecture, Waleed Joudah Nassar Alsaadi, Ibrahim Jawad Kadhim Al-Yousif

Iraqi Journal of Architecture and Planning

Posthumanist philosophy shifts the focus away from independent, human-centred thinking toward diverse, pluralistic modes of knowledge. It adopts the idea that human agency is interconnected with a broad network of other actors, such as contemporary intelligent machines, most prominently embodied in artificial intelligence. This research discusses the relationship and interconnection between architecture in its posthuman form and technology, selecting artificial intelligence as a model of this technology, as it represents the most significant technical and intellectual revolution at present. The study examines posthumanism as a radical theoretical model that seeks to transcend the limitations of human thought and anthropocentrism. The …

Conceptual And Formal Levels In The Digital Computational Architectural Design Process, Maysaa Izyara Mohammed, Amjad Mahmoud Albadry

Iraqi Journal of Architecture and Planning

This research examines the evolution of digital-computational design in architecture, from early Computer-Aided Architectural Design (CAAD) to contemporary practices. It distinguishes between digital design (DD), which treats digital tools as drawing instruments, and computational design (CD), which employs algorithms for deduction, induction, and abstraction. Three levels of design are identified: the Formation Level (pre-conceived forms), the Generation Level (emergent forms without preconception), and the Evolutionary Level (nature-inspired, performance-optimised forms). A critical threshold is explored where design transcends representation, embracing dynamic, algorithmic, and data-driven processes. Using analytical frameworks, literature reviews, and case studies of firms such as Gehry Partners and Zaha …

Budget Fy 2026 - 2027, Swosu Administration

SWOSU Fiscal Year Budgets

No abstract provided.

Interpretable Machine Learning Of Plasma Proteomics Reveals Stage-Specific Signatures Across The Alzheimer's Disease Continuum, Hemshankar Laugi

2026 Spring Honors Capstones Projects

Alzheimer’s pathology begins years before clinical symptoms, starting early with amyloid-β accumulation, followed by tau deposition and neurodegeneration. Although existing tools, such as cerebrospinal fluid (CSF) screening and PET/MRI imaging, can accurately track disease progression, they are invasive, expensive, and not scalable for population-level screening. So, there is a growing interest in using blood-based plasma biomarkers as a scalable alternative. While recent studies demonstrate strong predictive performance with plasma biomarkers, most rely on a small set of canonical blood-based protein biomarkers such as amyloid-β, p-tau, and neurofilament light. These biomarkers primarily reflect downstream brain pathology and may fail to capture …

Sdg 4.1.1 Minimum Proficiency Levels. Definition And Blueprint For Assessment, Prue Anderson, Andrew Mannion, Ursula Schwantner, Maurice Walker, Colin Watson, Toby Simmer

Global education monitoring

Sustainable Development Goal (SDG) 4 aims to ensure that, by 2030, “all girls and boys complete free, equitable and quality primary and secondary education leading to relevant and effective learning outcomes.” The primary indicator 4.1.1 concerns the proficiency of girls and boys in two learning areas (reading and mathematics) at three stages of education: at the end of lower primary, at the end of primary, and at the end of lower secondary. Large-scale learning assessments are essential tools to capture data on learning outcomes and to provide system-level evidence on education quality and equity. In the context of SDG 4, …

Implementing Student Choice Through Social-Emotional Learning To Support Independence And Motivation In Elementary Education, Allison Sloan

School of Education and Leadership Student Capstone Projects

Most people feel more motivated and invested in the work they are doing when they have a voice in the matter. This remains true for elementary students with their school work. This capstone paper analyzes and compares research articles to answer the guiding question: How can classroom strategies grounded in SEL and student choice promote independence while supporting diverse learning needs? The guiding question and project were created due to a noticeable lack of choice being represented and provided in elementary classrooms. The purpose of this paper is to examine the relationship between student choice, social-emotional learning, and student independence …

Finding The Confidence To Speak: Reducing Public Speaking Anxiety In Secondary English Students, Nickolas Johnson

School of Education and Leadership Student Capstone Projects

Public speaking is an essential academic, professional, and civic skill, yet many secondary students experience anxiety when asked to speak in front of peers and when assigned a presentation. This capstone project explored the question: How can secondary English language arts teachers develop methods to decrease anxiety around students who struggle with public speaking? The end result of this project is a Google Site resource guide that is designed for secondary English language arts teachers. The site provides background information on public speaking anxiety in the classroom, a bank of low-stakes speaking activities that can be used independently or in …

How Preservice Teachers' Confidence Is Impacted By A Geometry Course, Stephanie Hastings, Gabriel T. Matney

School of Inclusive Teacher Education Faculty Publications

A large body of literature supports the notion that a K-12 teacher's confidence in teaching and content impacts student achievement. This study explores a group of preservice teachers and their confidence in teaching geometric concepts. The eight participants were preservice secondary mathematics teachers enrolled in a high-school-focused geometry course centered on pedagogical content knowledge. Using mixed methods, the study examined how their confidence to teach geometric topics changed over the course, with participants rating that confidence on a 4-point Likert scale. Confidence to teach most topics increased significantly. Six themes emerged from the second round of interviews: (1) deep understanding …

Interactive Distribution Visualizer, Manish Rami

Software

An interactive tool visualizing types of distribution. Viewers can morph between a bell curve, box plot, and cumulative frequency curve.

Reliability Vs. Validity Visualizer, Manish Rami

Software

A visualization tool to demonstrate the concepts of reliability and validity.

Each target represents repeated measurements of the same person or construct. The crosshair (✛) marks the true score. Reliability = how tightly shots cluster together. Validity = whether shots center on the true score. Click any panel for a clinical SLP example. Also see notes below the plots.

Resilience Modeling Method For Combat System-Of-Systems Based On Hypernetwork And Game Theory, Yuxian Duan, Hanqiang Deng, Jiarui Zhang, Jian Huang, Shijia Zhang

Journal of System Simulation

Abstract: In view of the difficulties in dynamic reconfiguration and resilience evaluation faced by modern combat system-of-systems in a highly adversarial environment, and the deficiencies of existing studies in depicting high-order interaction relationships and cluster evolution mechanisms, this paper proposed a resilience modeling method for combat system-of-systems integrating hypernetwork and game theory, aiming to analyze the resilience mechanism of the system-of-systems in all dimensions from micro, mesoscopic, to macro levels. At the micro level, a high-order motif structure was introduced to represent the complex interaction modes among combat units, which overcame the information loss of traditional binary relationships in depicting …

Simulation Study Of Elevator Group Control Scheduling Based On Real-Time Occupancy Perception, Yiyong Han, Shiyu Wang, Yang Ye, Zhen Zhang, Fengque Pei, Minghai Yuan

Journal of System Simulation

Abstract: To address the conflict between car space allocation and peak passenger flow response efficiency in elevator group control scheduling, a multi-objective scheduling method based on proximal policy optimization (PPO) with real-time occupancy perception was proposed. A simulation environment considering car capacity constraints was constructed, and a reward-penalty mechanism with average passenger waiting time, system energy consumption, and car congestion as optimization objectives was designed. Based on this, state and action spaces were defined to form a PPO-based scheduling framework; a simulation platform integrating traffic flow visualization, policy scheduling, and performance evaluation was developed. Simulation results show that this method …

Adaptive Spatiotemporal Graph Neural Network-Based Net Load Forecasting For Residential Areas, Yongqi Yang, Cong Wang, Hongli Zhang, Ping Ma, Yue Meng, Tianhao Zhou

Journal of System Simulation

Abstract: To address the issue that traditional residential overall power load forecasting methods fail to fully consider the differences in users' electricity consumption habits, making it difficult to improve prediction accuracy, a residential net load forecasting method combining representation learning clustering and an AGCN-Transformer was proposed. The representation learning method was utilized to fully extract the latent features of users' net load data, and users were divided into different groups based on the similarity of electricity consumption behaviors; the net load data of the same group were aggregated, and a graph structure suitable for this task was constructed by comprehensively …

Evolution And Prospects Of Polarization Image Simulation Technology, Gengpeng Li, Wei Cai, Zhiyong Yang, Zhili Zhang, Xiaowei Wang

Journal of System Simulation

Abstract: Polarization image simulation technology is a key means to break through the bottleneck of polarization data acquisition and promote the development of polarization vision. This study systematically reviewed three evolutionary paradigms of this technology: Physical mechanism simulation, based on the polarization bidirectional reflectance distribution function and polarization ray tracing, strictly solves polarization light transmission, which has high interpretability and credibility, but it is computationally complex and lacks visual realism. Data-driven simulation, using models like neural radiance fields to learn polarization appearance from data, has high generation efficiency and visual fidelity but weaker physical consistency and interpretability. Physics-data fusion simulation …

Mbse Design And Approach-Phase Operational Simulation Of Bdsbas Airborne Receiver, Ruihua Liu, Tongwei Wang, Zan Ma

Journal of System Simulation

Abstract: In view of the problem that traditional document-based design methods are difficult to effectively capture the dynamic characteristics and internal interactions in navigation accuracy and integrity assurance required by BeiDou satellite-based augmentation system (BDSBAS) airborne receivers during the approach phase, which easily leads to designs deviating from actual requirements and affects system performance, a model-based systems engineering(MBSE) method was introduced. A multi-dimensional system architecture model encompassing system requirement analysis, behavior description, structure design, and parameter constraints was established. Taking BDSBAS as the object, a co-simulation method of system modeling language and MATLAB for required navigation performance (RNP) was proposed, …

Simulation Study On The Vulnerability Of Belt And Road Composite Transportation Network Based On Cascading Failure, Mingjun Qian, Chao Yin, Zhiwen Huang, Quanneng Wang

Journal of System Simulation

Abstract: To address the issues of unclear cascading failure propagation mechanisms and difficult-to-quantify vulnerability evolution laws caused by the structural complexity and node heterogeneity of the "Belt and Road" multimodal transport network, a vulnerability assessment method for composite transportation networks integrating physical analogy and improved cascading failure model was proposed. Sub-networks were constructed based on main transportation modes of the Belt and Road, and nodes in the same city were coupled to build a composite transportation network model. An information entropy-Joule's law model was constructed to identify key nodes of the composite network and its subnetworks. A load-capacity cascading failure …

Distributed Cooperative Control Of Swarm Unmanned Aerial Vehicles Based On Multi-Route Clustering, Yuyang Xiong, Chuntao Li, Wenhao Qiu

Journal of System Simulation

Abstract: To address the collaborative control and formation maintenance problems of large-scale swarm unmanned aerial vehicles, a distributed cooperative control method for unmanned aerial vehicles based on multi-route clustering was proposed. Leveraging the characteristics of multiple routes, the overall cooperative control problem of the swarm was decoupled into the cooperative control within the same route and the consensus control between multiple routes. Within the same route, a forward-neighbor information interaction mechanism was designed to determine the neighbor relationships, and a velocity-guided cooperative algorithm was utilized to achieve the desired velocity matching and spacing maintenance of unmanned aerial vehicles; between multiple …

Multi-Scale Modeling Method For Intelligent Unmanned Aerial Vehicle Swarm Combat, Yelei Zhu, Shoulin Shen, Jiang Zhu, Chuanhua Wen

Journal of System Simulation

Abstract: Intelligent unmanned aerial vehicle swarm combat exhibits multi-scale characteristics of microlevel tactical autonomy, meso-level resource constraints, and macro-level network collaboration. In view of the problem that a single-scale modeling method is difficult to simultaneously characterize individual decision-making details, resource flow process, and system collaboration mechanism, a multi-scale modeling method integrating multi-agent modeling, system dynamics, and complex network theory was proposed. By designing six formal coupling operators to achieve cross-layer information mapping, a time progression mechanism based on a master-slave clock and hybrid synchronization was established, and a proof of error boundedness was provided. A prototype system was implemented on …

Modeling And Simulation Of Efficient State Information Diffusion In Wireless Ad Hoc Networks, Mengyao Jia, Shaozhu Gu, Junhan Wang, Denghao Wang, Du Xu, Xiaoning Zhang

Journal of System Simulation

Abstract: To solve the problems of significant communication overhead and limited real-time response capability in the traditional flooding-based state diffusion mechanism, an efficient diffusion algorithm based on regional partitioning and information compression was proposed. A multi-dimensional feature clustering method integrating geographic distance and link quality was used to achieve high-cohesion network partitioning through weighted Euclidean distance and the K-means algorithm; a dynamic selection mechanism for representative nodes was designed to conduct comprehensive scoring by combining the link quality and geographic centrality of nodes, realizing the efficient compression and aggregated transmission of regional information. Simulation results indicate that the algorithm significantly …

Research On Safety Monitoring System For Digital Twin Fully Mechanized Mining Face In Thin Coal Seams, Ya Liu, Zhaoyun Zhang, Cheng An, Canguang Zheng

Journal of System Simulation

Abstract: To solve the problems of opaque production processes, difficult expression of production information, and high difficulty in real-time model driving and safety monitoring in fully mechanized mining faces of thin coal seams, studying the use of digital twin technology and risk early warning models to solve beyond-visual-range visual production operations and safety monitoring control of the working face has important theoretical and practical value. This paper studied the construction methods of the digital twin system for fully mechanized mining faces in thin coal seams and discussed the construction of high-precision three-dimensional models, the real-time collection and processing conversion of …

Trajectory-Aware Dynamic Offloading For High-Mobility Vehicular Edge Systems, Haoran Xu, Zhiqin Huang, Youwu Hu, Zheyi Chen

Journal of System Simulation

Abstract: To address the problems of service interruptions, task failures, and resource waste caused by high mobility of intelligent vehicles (IVs) in vehicular edge computing (VEC), this paper proposes a trajectory-aware dynamic offloading (TADO) framework for high-mobility vehicular edge systems. A lightweight T-pattern trajectory-aware algorithm is designed to efficiently predict the next-hop road side unit (RSU) by mining spatio-temporal patterns from historical trajectories of vehicles, offering a forward-looking reference for offloading decisions. A joint optimization model is constructed, and a service interruption risk factor driven by trajectory prediction is introduced. An improved DRL method is developed. It takes the predicted …

Multi-Auv Pursuit Algorithm With Phased Guidance Based On Maddpg, Sen Zhang, Sihang Shen, Xiaojie Sun, Jingping Shao, Shuaiqiang Guo, Yingjie Deng

Journal of System Simulation

Abstract: To address the problems such as low exploration and sampling efficiency and sparse rewards in the early training stage under the complex target pursuit environment of multiple AUVs based on MADDPG, a phased-guidance curriculum MADDPG (PGC-MADDPG) algorithm was proposed. The pursuit task was divided into two phases, i.e., target tracking and encircling, through curriculum learning. In the target tracking phase, an experience strategy based on the APF method was introduced as a guidance item to provide prior knowledge of the target direction and accelerate the AUV training speed. After entering the encircling phase, the APF guidance item was removed, …

Study On Trajectory Optimization Of Spray Painting Robot Based On Improved Sparrow Search Algorithm, Jie Yang, Zhenkai Xiong, Longyan Wang

Journal of System Simulation

Abstract: To address the challenges posed by the complex working environment to the trajectory planning of the spray painting robot, a multi-strategy integrated sparrow search algorithm (MISSA) was proposed with the dual optimization objectives of time efficiency and motion smoothness. The 3-5-3 polynomial interpolation method was adopted to design the trajectory curve, aiming to ensure continuous angular displacement, angular velocity, and angular acceleration throughout the process. A multidimensional optimization problem with joint constraints was constructed using the total trajectory duration as the performance index. MISSA, which integrates refraction reverse learning, sine-cosine adaptive adjustment, and Cauchy mutation, was utilized to optimize …

Research On Multi-Objective Hybrid Flow-Shop Scheduling With Order Splitting, Junjie Yu, Weixi Ji, Chen Chen, Jingyu Lu, Chaoyang Zhang

Journal of System Simulation

Abstract: To address the order splitting multi-objective hybrid flow-shop scheduling problem (OSMOHFSP), a dual-objective optimization model was formulated with the objectives of minimizing makespan and total order tardiness. Fixed sub-batch specification constraints were incorporated to reflect common splitting limitations in actual production. A sub-batch generation strategy based on a candidate set of sub-batch specifications was designed to efficiently filter feasible splitting combinations, effectively reducing the search space dimensionality and computational complexity. A hybrid multi-objective metaheuristic algorithm integrating NSGA-II and SA was proposed. The global search capability was enhanced by constructing two crossover and four mutation operators. An improved SA embedding …

Ultra-Short-Term Photovoltaic Power Prediction Method Based On Spatio-Temporal Feature Enhancement Of Ground-Based Cloud Images, Zhiwei Kou, Fengyue Xin, Xiaoming Cui, Yu Yin, Feifan Li, Yongsheng Qi

Journal of System Simulation

Abstract: In view of the time lag in ground-based cloud image acquisition and the insufficient accuracy of existing photovoltaic power prediction models, an ultra-short-term photovoltaic power prediction method named spatial-temporal feature enhancement-ground-based cloud image-improved LSTM (STFE-GCI-ILSTM), which is based on spatio-temporal feature enhancement-ground-based cloud images-improved long short-term memory (LSTM) network was proposed. A ground-based cloud image prediction model with multi-scale spatio-temporal feature enhancement (STFE-GCI) was constructed. By spatial feature enhancement, temporal feature enhancement, and multi-scale feature fusion technologies, the deep spatio-temporal features of historical cloud image sequences were extracted to generate future predicted cloud image sequences, thereby eliminating the time …

Simulation Platform Based On Soc-Fpga Clusters For Cxl-Ethernet Heterogeneous Interconnection, Xu Zhang, Ke Liu, Mingyu Chen

Journal of System Simulation

Abstract: To address the difficulty of balancing simulation speed and topology flexibility when simulating large-scale, CXL-Ethernet heterogeneous interconnect datacenter scenarios with existing CXL simulation platforms, this paper presents CNetSim, a semi-physical simulation platform based on an SoC-FPGA cluster. The platform employs SoC-FPGA hardware to emulate endpoint nodes, leveraging their real processors and memory devices as well as FPGA-implemented CXL. mem protocol to support high-speed execution of standard Linux systems and real distributed applications. Meanwhile, it utilizes the flexible topology configuration capability of software simulation to implement CXL switched networks and inter-rack Ethernet interconnects based on DPDK on simulation servers. Simulation …

Optimization Of Convective Heat Transfer Parameters For Spindles Based On Finite Element Thermal Analysis, Jiali Zhang, Haiping Liu, Qinsheng Jiang, Sina Dang

Journal of System Simulation

Abstract: In view of the low simulation accuracy of existing finite element models for thermal characteristics of spindles caused by ignoring the influences of geometric characteristics of convective surfaces and fluid flow patterns and often adopting constant temperature loading in the setting of convective heat transfer boundary conditions, this paper proposed an optimization method for convective heat transfer parameters of spindles based on finite element thermal analysis. Combined with the geometric shapes and spatial positions of various convective surfaces of the spindle system, the calculation criterion of the convective heat transfer coefficient was determined through dimensional analysis according to the …