Digital Commons Network^™

Potential Benefits Of A Space Domain Awareness Secondary Mission Capability On Proliferated Smallsat Constellations For Cost-Effective Augmentation Of Sensor Headcount And Angular Diversity In Terrestrial Sda Enterprises, Paul Day, Tina Schmidt, Micah Chapman, Zackary Werner, Carlos Jimenez, Paul Cronk

Small Satellite Conference

Poster presented during the 2025 SmallSat Conference.

Reaching Higher Orbit - A Quick Guide For Exploration Beyond Leo, John Carrico, Mike Loucks, Alisa Hawkins

Small Satellite Conference

Poster presented during the 2025 SmallSat Conference.

Sol3 - A Level 5 Self Driving System For Spacecraft, Blake Bruell, Bob Crocco, Ethan Rublee, Giuseppe Pasqualino, Greg Brougher, Hauke Strasdat, Ian Sherman, John Bailey, Morgan Swanson, Ryan Catherman, Ryan Johnson, Stephen Bailey, Sydney Weiser

Small Satellite Conference

Poster presented during the 2025 SmallSat Conference.

Techniques For Optimizing Swap-C Through Multi-Phase Clock Distribution, Abigail Eberts

Small Satellite Conference

Multi-phase power is important to design highly efficient solutions for next-generation space avionics systems, but noise, current sharing accuracy and beat pulses can all contribute to the complexity of a power system's design. The latest FPGAs and ACAPs have very specific DC and AC regulation tolerances, so it can be difficult to manage power while considering size, efficiency, reliability and cost.

This poster will demonstrate methods to scale and manage multi-phase power systems through the inclusion of power management-specific clock distribution ICs and show how they can be used to implement a variety of solutions that balance efficiency and accuracy …

Star Tracker Advancements At A Glance, Steffen Hahn, Florian Schuh

Small Satellite Conference

Poster presented during the 2025 SmallSat Conference.

Screen Time And Objectively Measured Sleep Of U.S. College Students: A Brief Report, Donya Sedaghat, Eunkyung Lee, Jeanette Garcia, Keith Brazendale

International Journal of Exercise Science

International Journal of Exercise Science 18(4): 747-756, 2025. The objective was to investigate screen time (ST) and objectively measured sleep quality in college students. Participants were undergraduate students attending a large metropolitan public university in the southeastern U.S. Participants wore accelerometers on their wrist for 24hr/day for 14 days to capture sleep outcomes, and completed a survey reporting ST duration. Analyses explored weight-status, race/ethnicity, and sleep patterns (presence of daytime sleep) differences among students. Participants (n=29, 86% female, ~21.5 years old, 38% White, 35% Overweight/Obese) slept for an average of 433.8 minutes/night, reported 419.1 minutes of daily ST, and 112 …

Modernizing Smallsat Mission Operations: Integrating Ai-Driven Optimization With Cloud-Native Control Systems, David Besson, Dax Garner

Small Satellite Conference

As the space industry experiences unprecedented growth in SmallSat constellation deployments, traditional mission control approaches face significant scalability and efficiency challenges. This paper presents a novel framework that integrates three cutting-edge technologies to revolutionize satellite mission operations: Cognitive Space’s CNTIENT.Optimize AI-powered decision engine, Yamcs open-source mission control software, and the Amazon Web Services (AWS) Cloud Mission Operations Center (CMOC) solution. As a representative simulation benchmark, the paper demonstrates the framework’s capabilities through mission simulations of the Cyclone Global Navigation Satellite System (CYGNSS) SmallSat constellation. The integration leverages CNTIENT.Optimize’s advanced AI algorithms to automate complex scheduling decisions across proliferating homogenous or …

Arizona Dust: Students Advancing Climate Science With Cubesat Technology, Haile Brown, Theodore Courtois, Alyssa Armstrong, Abraham Phillips, Mckayla Morgan, Isabella O'Brien, Aaron Wall, Harrison Constance

Small Satellite Conference

ARIZONA DUST (Arid Region Infrared Zone Observation of Notable Arizona Desert Urban Storms and Temperatures) is a student-led mission team of 25 out of Arizona State University with the goal to understand how Earth’s climate is evolving and why. The 6U CubeSat ‘Dusty’ will orbit at a 400 km altitude in a non-sun synchronous orbit with a 40^° inclination designed to pass over Arizona (as well as Australia). The mission is designed to study monsoon and dust storms to enhance understanding of their effects on temperature as they relate to global climate change. With the orbital path also crossing …

Afrl Validated Principles And Building Blocks Of Ground-Based Ops Automation, Tyler De Caussin, Jarred Langhals, Brandon Shirley, Lee Jasper

Small Satellite Conference

Over the past decade, AFRL's Small Satellite Portfolio (SSP) and Ops Cadre (RVES) branches have been operating small satellites with different bus providers to support diverse mission needs. Because the bus, payload and experimentation differ for every mission, and the ground segment has had the challenge of supporting the varying needs on a mission-by-mission basis. AFRL has been working to improve efficiency with which the ground segment supports those varying needs. One major emphasis has been on learning how to automate operations of such different missions. In an effort to standardize mission automation within the operations center, AFRL has developed …

Terp Raptor: A University-Led Smallsat Flyby Mission To Investigate Asteroid Apophis, Adrienne Rudolph, Sean Phillips, Chinthan Prasad, Kruti Bhingradiya, Rahul Vishnoi, Cameron Storey, Brent Barbee, Mary Bowden, David Akin, Jarred Young, Paul Bernhardt, Yunghsin Chen

Small Satellite Conference

The ~350-meter diameter Potentially Hazardous Asteroid (PHA) designated 99942 Apophis 2004 MN₄ will make a historic close approach of Earth on April 13th, 2029, passing within ~31,634 km of Earth’s surface, closer than our geosynchronous satellites. Suggested to be a 1 in 7500-year event, this is an extraordinarily unique opportunity for collecting data on an Apophis-sized asteroid experiencing the effects of Earth’s gravitational field. Our Terrapin Engineered Rideshare Probe for Rapid-response asteroid Apophis Profiling, Tracking, Observing, and Reconnaissance (TERP RAPTOR) is a low-cost, Earth-orbiting mission concept in which a 12U CubeSat designed and built by University of Maryland students …

From Dishes To Distributed Arrays: Towards Efficient And Interference-Free Satellite Ground Stations, Rohith Reddy Vennam, Luke Wilson, Sesha Sai Rakesh Jonnavithula, Ish Kumar Jain, Dinesh Bharadia

Small Satellite Conference

The rapid growth of low Earth orbit (LEO) satellite constellations, driven by initiatives such as Starlink and Kuiper, has enabled global internet access, Earth observation, and emerging direct-to-device (D2D) applications. However, this surge in satellite deployments has outpaced the expansion of ground station infrastructure, creating a critical bottleneck for scalable and low-latency communication. Traditional ground stations, predominantly based on mechanically steered parabolic dishes, are ill-suited for tracking multiple fast-moving LEO satellites simultaneously due to latency, operational inefficiencies, and underutilized resources. While phased array antennas offer electronically steerable, multi-beam capabilities, their widespread adoption in ground stations is hindered by challenges in …

Exploring Lunar Ionosphere Characterization Through Multi-Cubesat Occultation With Ranging Technology And Radiation Environment Analysis, Yiyu Chang, Yuhsiu Tien, Chieh Lung, Jason Yu, Weichih Lin, Yihsuan Chou, Roger Tsai, Terry Chen, Yi Duann, Loren Chang

Small Satellite Conference

Characterizing the lunar ionosphere and radiation environment is critical for advancing both scientific knowledge and the practical requirements of future lunar missions. This mission proposes deploying dual satellites in lunar orbit to perform radio occultation (RO) measurements and validate the presence and behavior of the lunar ionosphere. By analyzing the phase differences of dual-frequency signals, the electron density can be measured, enabling both temporal analysis and spatial mapping of the lunar ionospheric structure. A thorough understanding of these environmental factors is essential for identifying suitable landing sites, designing resilient infrastructure, and ensuring the reliability of communication and navigation systems—key enablers …

Telemetry Handling & Extensible Satellite Environment For A Unified System (Theseus) For The Operation Of Onglaisat, Shunsuke Shimomura, Kuna Shitara, Yuki Kusano, Yojiro Yamashiro, Tomoki Mochizuki, Shunichiro Nomura, Takeshi Matsumoto, Akihiro Ishikawa, Yosuke Kawabata, Satoshi Ikari, Ryu Funase, Shinichi Nakasuka

Small Satellite Conference

The recent increase in small satellites and diverse satellite missions has heightened the need for flexible and highly reliable ground station software. However, most existing open-source ground station software is implemented with the entire system in mind, making it difficult to accommodate diverse missions. Even when accommodating diverse missions, it is necessary to edit configuration files with a wide range of descriptions or make internal service modifications. Furthermore, as the number of available ground station services increases, there is an urgent need for systems that can support a wider range of interfaces. In addition, modern satellite development requires flexible support …

Gram-Scale Chipsat Spacecraft For Light Sailing In Leo, Joshua Umansky-Castro, Matthew Hurford, Corbin Heywood, Grace Tang, Cameron Goddard, Jonathan Ma, Apurva Hanwadikar, Mason Peck, Andrew Filo, Alex Burke

Small Satellite Conference

Cornell University’s Alpha mission is a 1U CubeSat that deploys a retroreflective free-flying light sail in LEO. Mounted to the sail, and serving as its flight computers, are four ChipSats –gram-scale spacecraft assembled onto a single palm-sized PCB. These satellites collect and downlink data on the sail’s orbital position and attitude kinematics, communicating directly with low-cost ground stations around the globe. This paper introduces the ChipSat developed specifically for the Alpha mission launching in 2025. The new femto-satellite builds on previous-generation designs with a significant revamp of the RF communications. This paper provides an overview of the as-flown ChipSat design …

Csa-Xai: Channel–Spatial Attention And Explainable Ai In A Modular Multi-Backbone Framework For Lung Cancer Classification, Omar Ibrahim Obaid, Abdulbasit Alazzawi

Iraqi Journal for Computer Science and Mathematics

Computed tomography (CT) scans require precise and early lung cancer detection to produce better clinical results. High accuracy in deep learning approaches (DL) poses an existing challenge to interpret their functionality effectively. This research presents an innovative modular multi-backbone structure that combines channel-spatial attention together with explainable AI (XAI) methods for three-class lung cancer diagnosis (Normal, Benign, and Malignant). Research was carried out to evaluate six pre-trained CNN backbones (ResNet-50, VGG19, Inception-V3, EfficientNet-B0, MobileNet-V2, DenseNet-121) which received hybrid attention enhancement on the IQ-OTH/NCCD dataset. The experimental data showed four pre-trained models reaching perfect accuracy at 100 percent whereas the others …

Class Weighting In Imbalanced Data For Leukocyte Classification Using Fine-Tuning Inception-V3, Wahyudi Setiawan, Meidya Koeshardianto, Eka Mala Sari Rochman, Aeri Rachmad, Tutut Herawan

Iraqi Journal for Computer Science and Mathematics

This study investigates the classification of leukocyte images in an imbalanced dataset using deep learning techniques. The dataset consists of 14,514 images, categorized into five leukocyte types: basophils (301), neutrophils (8,891), lymphocytes (3,461), monocytes (795), and eosinophils (1,066). To address class imbalance, we applied class weighting alongside transfer learning and fine-tuning using the Inception-v3 architecture. The dataset was split into 80% for training and 20% for testing, and 5-fold cross-validation was conducted to evaluate model robustness. Hyperparameters were set with a learning rate of 0.0001, batch size of 32, and 30 training epochs, optimized using the Adam optimizer. Fine-tuning was …

Symmetric Toeplitz Matrices For A Class Of New Subclass Functions And Bazilevič Functions, Nihad H. Shehab, Abdul Rahman S. Juma

Iraqi Journal for Computer Science and Mathematics

In this work, we describe and investigate a novel collection of analytic functions, including the new functions and the Bazilevič functions. An important component of analytic functions, Bazilevič functions have numerous uses in both pure and practical mathematics. For this class of functions, we concentrate on building Toeplitz matrices, examining their structural characteristics, and evaluating their eigenvalues and trends. We utilise these studies to draw sophisticated mathematical conclusions on the stability and convergence characteristics of Bazilevič functions, as well as possible uses in geometry and differential equations. This work aims to determine coefficient estimates for the functions in this family …

Classify Cancers Types Using Mirnas Profiles And Machine Learning, Wafaa Khazaal Shams

AUIQ Technical Engineering Science

Cancer classification is important for early diagnosis and effective treatment. This study proposes a hybrid framework that combines Fisher Discriminant analysis (FD) with Linear Support Vector Machine (LSVM) and Long Short-Term Memory (LSTM) networks. MicroRNAs (miRNAs) expression profiles for three types of cancer are used to evaluate the model. These are: lung- adenocarcinoma, ovary and pancreas cancers. The classification process is done using 5-fold cross valuation. Results show significant performance for LSTM compared to LSVM with and without features reduction. However, using FD analysis results in high accuracy reached 0.97and 0.96 for LSTM and LSVM respectively, using 50 miRNAs. The …

Architectural Optimization Of Façade Design Using Nano-Ceramic Films For Green Buildings In Baghdad’S Hot Climate, Lina M. Shaker, Wan Nor Roslam Wan Isahak, Ahmed Salih Mahdi

AUIQ Technical Engineering Science

This study aims to optimize the architectural integration and energy performance of nano-ceramic window films in a three-story Baghdad commercial building having an overall area of 2,000 m². In a 40% window-to-wall ratio (WWR) and climate-responsive orientation, films were selected for solar exposure; north façade overhanging high-transmittance movies, east and west vertical fins on medium-transmittance movies, and south horizontal louvers on low-transmittance movies. Architectural strategies for daylighting, comfort, and façade appearance with low solar heat gain (SHG) were considered. MATLAB 2022 simulations evaluated energy savings, daylight transmission, and solar rejection. The most effective film (either film, HD-IR05100) achieved …

Framework For Governed Orchestration And Adaptive Lifecycle Management Of Hierarchical Artificial Intelligence Agents, Mithun Kumar S R

Defensive Publications Series

This document describes a framework for governing and managing hierarchical artificial intelligence (AI) agent systems. The framework addresses various limitations of current approaches, such as static architectures, naive delegation, high operational costs, lack of auditability, security vulnerabilities, and poor conflict handling. The framework includes a primary orchestrator node (PON) for task decomposition, a delegation and provisioning engine (DAPE) for agent selection and provisioning, specialized execution agents (SEAs) for task execution in secure sandboxes, a shared context manifold (SCM) for collaboration, a synthesis and reconciliation module (SRM) for output assembly, a causal traceability ledger for auditability, and a performance-driven optimization loop …

Optimized Fiber Movement During Datacenter Network Transformation, Na

Defensive Publications Series

This disclosure describes techniques for optimal fiber movement between datacenter racks during network transformation and/or network configuration changes. Per techniques of this disclosure, when fibers are moved to adjacent racks, the fiber side is changed from its previous configuration, when such change is possible without routing across a fiber manager. This can involve moving super fibers to a spine-facing port area during cross-rack transitions in physical conversion. During subsequent logical conversion, super fibers originally in the spine-facing port area may use spine-facing ports, and fibers originally in the super-facing port area may use super-facing ports. Techniques described herein directly address …

Illinois Model Programs Of Study Guide: Health Sciences, Education Systems Center

Reports, Analyses, and other Publications

First published in October 2020. Significantly revised in September 2024 to incorporate updated labor market information. An update in April 2025 included minor corrections. In August 2025, two new sections were added: key terminology and the relationship between concepts.

Illinois Model Programs Of Study Guide: Information Technology, Education Systems Center

Reports, Analyses, and other Publications

First published in October 2020. Significantly revised in September 2024 to incorporate updated labor market information. An update in April 2025 included minor corrections. In August 2025, two new sections were added: key terminology and the relationship between concepts.

Building Better Cities With Artificial Intelligence: A Path To Sustainability And Livability, Mona Mahrous Abdel Wahed

Emirates Journal for Engineering Research

The rapid acceleration of urbanization has amplified the multifaceted challenges confronting cities in attaining sustainability and ensuring livability. Artificial Intelligence technologies stand out as transformative tools with the potential to revolutionize urban development through finding innovative solutions to urban challenges. By leveraging AI, cities can optimize resource allocation, enhance decision-making processes, and create urban environments that are both livable and environmentally sustainable. Achieving this transformation requires visionary policymakers, meticulous planning, and a commitment to ethical AI deployment. Through AI's data-driven insights, urban planners can make informed decisions that align with the complex and dynamic needs of urban areas. This research …

Libraries, University Of Mississippi. Libraries

University Website Migration from WordPress

No abstract provided.

Usa V. Dion Marsh

2025 Decisions

USDC for the District of New Jersey

Paul Taylor V. Commissioner Of Pennsylvania D

2025 Decisions

USDC for the Middle District of Pennsylvania

Rolando Muniz V. Usa

2025 Decisions

USDC for the District of New Jersey

The Association Of Anxiety, Familial Dysfunction, And Child Emotion Regulation Between Family Therapy Sessions 1 And 4, Kaelie Noel Lemmon

Theses and Dissertations

Few studies address how relational factors may be interdependent and impact child-focused problems that could be collectively addressed in systemic family therapy. The current study utilized a cross-lagged panel model to explore the associations of parental anxiety, familial dysfunction, and child emotion regulation between four family therapy sessions. The study included 224 parents who sought family therapy and participated in the Marriage and Family Therapy Practice Research Network (MFT-PRN). Data were collected at two time points across four family therapy sessions. The findings indicated that higher levels of parental anxiety at intake were associated with higher familial dysfunction at session …

A Dendrite Equivalence Relation On Loop Spaces, Spencer Arnesen

Theses and Dissertations

In Definition 2.0.3 we define an equivalence relation on paths such that two paths into a space X are related if doing the first, then the second backwards factors as a loop through a dendrite. This equivalence relation induces a group structure L(X) on a large subset of the loop space of X, namely all loops that have a unique reduced representative. We show that certain continuous maps induce a homomorphism between dentropy groups and that projection from three-dimensional real space to two-dimensional real space does not induce a homomorphism on dentropy groups.. We show that dentropy groups are locally …