Digital Commons Network^™

Documentation And Project Change Management System – Honeywell Trace, Farukh Adilov, N.R Yusupbekov, Maksim Fedorovich Astafurov, Kamola Rustamovna Abdullayeva

Chemical Technology, Control and Management

The article examines modern approaches to organizing documentation and managing changes in industrial automation projects using the Honeywell Trace software platform. The evolution of documentation tools from the Documentation Tool utility within the TDC 2000/3000 system to modern intelligent solutions is described. The architecture, functional capabilities, and supported interfaces of Honeywell Trace are analyzed. Particular attention is paid to automated configuration change tracking, comprehensive search by process tags, and the detection of potential errors. The possibilities of integrating the system with industrial process control systems, controllers, auxiliary systems, and industrial communication protocols are considered. The application of Honeywell Trace during …

One Size Does Not Fit All: Revisiting World Models And Neurosymbolic Ai, Amit P. Sheth, Madhur Thareja, Anushka Pawar, Niyati Rawal

Publications

World models are being built twice, from opposite ends, without a shared theory of how the two halves should meet. One lineage grounds the world model in perception: a self-supervised, latent-predictive encoder – exemplified by Joint Embedding Predictive Architectures (JEPA) – that learns the structure of sensory experi-ence. A second, older lineage grounds the world model in cognition: an explicit, inspectable structure of entities, rules, and constraints, ranging from knowledge graphs to formal logic to physical law. Neither lineage alone has produced a world model that is simultane-ously adaptive and auditable. We argue this is not solved by picking a …

Dynamic Flood Risk Assessment For Transportation Infrastructure In Fresno, Ca, Yushin Ahn, Fayzul Pasha

Mineta Transportation Institute

Urban roadway flooding in flat metropolitan environments often shows up as small areas of standing water rather than large, flowing floods. In low-gradient urban environments, subtle micro-topographic features—such as pavement crowns, curbs, and localized depressions—often control where surface water accumulates following rainfall. Accurately identifying these localized ponding areas is important for roadway flood screening and infrastructure management. This study develops a LiDAR-based depression mapping framework to identify roadway segments susceptible to surface ponding in flat urban environments. High-resolution airborne LiDAR datasets were used to generate detailed elevation maps (down to less than a foot in resolution) from ground-classified point clouds …

Biki: Design Overhaul, Meg Rawson

Computer Science and Engineering Senior Theses

For children from bilingual households, kindergarten can represent both an introduction to formal mathematics education and a period of increased exposure to the English language. Students may therefore be learning foundational mathematical concepts while simultaneously developing the English vocabulary used to describe those concepts. BiKi (Bilingual Math for Kindergartners) was developed to help bridge this gap through an educational application that combines visual, auditory, and interactive learning activities to reinforce mathematical vocabulary in both English and a student’s home language.

This work builds upon the existing BiKi application while maintaining its original educational goals and intended audience. The primary focus …

Semantic-Guided Diffusion Autoencoder For Medical Image Synthesis And Representation Learning, Neda Yousefi, Abbas Koochari, Azadeh Zamanifar

Makara Journal of Technology

The development of robust machine learning models for medical diagnostics is constrained by the scarcity of large, annotated imaging datasets, a challenge rooted in high acquisition costs and stringent privacy regulations. To address this, generative approaches for data synthesis have emerged as an essential tool, and this study explores the use of diffusion models to generate medical images. This study introduces a novel Diffusion Autoencoder Model (DAM) integrated with a semantic encoder framework to generate interpretable and decodable image representations. Our DAM learns disentangled latent features via its encoder, which then conditions a diffusion probabilistic model acting as the decoder, …

Investigation Of Bridge Foundation Depth Using Geoelectrical Dipole Configuration, Devi Oktaviana Latif, Amalia Ula Hazhiyah, Adhitya Yoga Purnama, Ika Rahmawati Suyanto, Surya Dewi Puspitasari, Heru Budi Utomo

Makara Journal of Technology

Bridges are constructed to facilitate the crossing of pedestrians, vehicles, or trains and are essential components of land transportation infrastructure, which is crucial for ensuring the smooth flow of traffic. As part of the reconstruction project for the south side of the Muja Muju Bridge on Jalan Kusumanegara, the Yogyakarta City Government rebuilt this section of the bridge, which had become unfit for traffic use. The area features two bridges, serving as transportation routes: the Muja Muju Bridge on the north side and the newly reconstructed bridge on the south side. The demolition of the south side of the Muja …

Early Detection Of Alzheimer’S Disease Using Federated Learning Based On Personalized Gans: A Data-Driven Approach, Iffat Fatima, Uzair Iqbal, Uzair Ishtiaq, Muhammad Burhan Ul Islam Khan

Makara Journal of Technology

Alzheimer’s disease (AD) is a complicated neurodegenerative disease marked by the slow worsening of memory and cognitive functions. Early detection is a key to effective disease management, but the creation of reliable machine learning models is not an easy task because medical data are limited, and there are strict privacy requirements, such as GDPR and HIPAA, that inhibit the creation of central databases. In this paper, a new privacy-saving model that combines personalized federated learning (PFL) with generative adversarial networks (GANs) is proposed to diagnose Alzheimer’s disease. Under the proposed method, the synthesis of data using GAN is conducted on …

Design Of A Pneumatic Actuator-Based Solar Tracker To Address The High Costs And Energy Shortages In A Center Pivot Irrigation System In The Karbala Desert, Mustafa A. Abdul-Hussein, Jamal A.-K. Mohammed

Makara Journal of Technology

CPI systems used to spray crops in the Karbala Desert face two main problems: the cost of generating electricity with generators and the difficulty of delivering electricity from the grid to remote areas. Second, the fixed solar panels feeding some of these systems cannot produce enough electricity because they cannot track the sun’s rays. To solve these issues, appropriate actuators must be combined with these panels to form solar trackers. Due to their advantages over others, pneumatic actuators are proposed to enable the panels to constantly track the sun’s rays. This leads to the production of as much energy as …

Thermal Management Solutions For Ev Batteries: Advanced Heat Transfer Mechanisms And Material Innovation, Hyginus Chidiebere Onyekachi Unegbu, Danjuma Saleh Yawas

Makara Journal of Technology

Effective thermal management is critical for ensuring the safety, performance, and longevity of EV batteries. This study presents a comprehensive assessment of advanced BTMSs using CFD simulations, experimental validation, and statistical modeling. Three advanced heat transfer mechanisms microchannel cooling, heat pipes, and jet impingement cooling— were evaluated alongside novel materials, including graphene-enhanced TIMs and hybrid PCMs incorporating carbon nanotubes (CNTs). Jet impingement cooling provided the lowest peak temperature (33.8 °C) and the greatest heat dissipation efficiency (94.5%) among the tested systems. Microchannel cooling maintained 34.5 °C with superior temperature uniformity while graphene CNT hybrid PCMs reached thermal conductivities of up …

Neural Network Driven By Electrochemical Performance Data For Predicting The Discharge Termination Time Of Seawater Electrolyte-Based Metal-Air Batteries, Peng-Peng Shen, Yi-Chi Pan, Yu-Rong Liu, Lu-Dan Zhang, Ning Niu, Guan-Jun Wang, De-Kun Yang, Xin-Long Tian, Peng Rao

Journal of Electrochemistry

Seawater electrolyte-based metal-air batteries exhibit great promise for marine energy supply systems. However, conventional statistical analysis methods, though applicable to seawater metal-air battery lifetime prediction, have inherent limitations of insufficient prediction accuracy and large error. Herein, a deep time-series regression framework based on InceptionTime and incorporating prior-biased attention pooling is proposed to construct a nonlinear mapping between electrochemical performance sequences and the discharge termination time of catalysts. Specifically, chronoamperometric profiles are employed to extract long-term stability features, while prior knowledge derived from linear sweep voltammetry is introduced to strengthen the attention weighting over critical potential regions. Under a nested leave-one-catalyst-out …

Microwave-Assisted Synthesis Of Core-Shell Structured Pd@Pdptcufe Recessed Truncated Octahedral Nanocrystals For Multifunctional Electrocatalysis, De-Zhong Hu, Wen-Dan Jiang, Wei Keat Ng, Jun Yang, Xiong-Wu Kang

Journal of Electrochemistry

Developing cost-efficient and durable multifunctional electrocatalysts of hydrogen evolution reaction, oxygen reduction reaction and oxygen evolution reaction is crucial for improving energy conversion efficiency in electrolytic water splitting electrolyzer and advancing rechargeable zinc-air batteries. Polyhedral shaped nanocrystals with well-defined crystal facets represent a type of model catalysts that enables the exploration of structure-activity relationships. However, it is still very challenging to prepare alloy nanocrystals with multiple metal components due to their complicated redox potentials and mixing enthalpy. Herein, we report a rapid microwave-assisted polyol reduction method for syntheses of core-shell Pd@PdPtCu, Pd@PdPtCuNi, Pd@PdPtCuCo and Pd@PdPtCuZn octahedral nanocrystals, and recessed truncated-octahedral …

In Situ Electrochemical Characterization Techniques For Active Hydrogen In Electrocatalytic Nitrate Reduction To Ammonia, Hong-Mei Li, Mei Yi, Zhao-Yu Jin, Ming-Hao Xie, Khalid M. Omer, Yong Guo, Pan-Pan Li

Journal of Electrochemistry

Electrocatalytic nitrate reduction to ammonia (NitRR) represents a sustainable pathway that integrates environmental remediation with the production of high-value ammonia. However, the activity and selectivity of this process are limited by the generation, consumption, and dynamic equilibrium of the key transient intermediate—active hydrogen (*H). Precise modulation of *H necessitates a comprehensive understanding of its behavior, which relies fundamentally on advanced in situ electrochemical characterization techniques. However, a systematic review dedicated to the rational selection and application of in situ electrochemical techniques for the specific characterization of *H in NitRR, with clear definitions of each technique's "detectable targets, quantitative accuracy, and …

Detecting Hazards At Rail Grade Crossings Using Computer Vision And Ai, Silvia Flores-Osuna, Gasser G. Ali, Darren Espinoza, Felix Chavez, Constantine Tarawneh

Mechanical Engineering Faculty Publications

The Federal Railroad Administration reported a total of 2,250 highway-rail incidents during 2024. Continuous efforts by transportation agencies aim to lower these numbers by spreading awareness, improving infrastructure, and installing warning devices. Efforts have been made to enhance safety at these crossings using a variety of innovative technologies; however, there remains a need for a robust and cost-effective system capable of detecting hazards at various crossings under diverse climate and lighting conditions. This paper explores the application of artificial intelligence and deep learning to develop a Convolutional Neural Network (CNN) for image-level multi-class classification of hazards at grade crossings, including …

Residential Cooling Energy Efficiency During Heatwaves In South Texas, Rosa A. Castan, Gasser G. Ali

Civil Engineering Faculty Publications

Heatwaves have become increasingly intense and frequent in recent years. As a result, residents are forced to rely on air-conditioning systems, a major contributor to high energy consumption. South Texas is one of the regions that has been affected by historically extreme heat. This paper explores the challenges this region has faced due to heatwaves and the strategies adopted to mitigate their effects. It investigates the use of cooling technologies, energy-related habits, and investment in home construction to reduce indoor heat and manage electricity bills. A literature review is performed to help identify relevant factors related to maximizing energy efficiency. …

Design And Fabrication Of 3d Bioprinted Scaffold: Experimental And Machine Learning Methods, Mohan K. Dey

LSU Doctoral Dissertations

The development of reliable hydrogel-based scaffolds for extrusion bioprinting remains limited by the poor structural fidelity of low-viscosity bioinks and the lack of robust, high-throughput quality evaluation methods. This dissertation can resolve such challenges by developing the combination of optimized hydrogel formulations, cryogenic-assisted bioprinting, and artificial intelligence (AI)-based scaffold evaluation to the use of tissue engineering and preclinical cancer modelling applications. To assess the rheological behavior, printability, mechanical properties, and biocompatibility of the alginate – gelatin (Alg–Gel) system, a novel system of hydrogel was developed and characterized using Alg–Gel hydrogel system. The 7% alginate, 8% gelatin mixture was found to …

Evaluating The Impacts Of Extreme Temperature Events On The Us Rail Network, Gabby Gutierrez, Gasser G. Ali, Constantine Tarawneh

Civil Engineering Faculty Publications

The United States railway is a critical part of the national infrastructure and economy. Heatwaves are a major weather event that can cause major disruptions and affect the stable operation of the railway. Failure in part of the rail network may have a ripple effect on the rest of the network. As such, there is a need to study the effect of weather on rail networks that require re-routing. The goal of this paper is to investigate the vulnerability of the contiguous United States rail infrastructure against disruptions to operations caused by extreme heat events. This goal is achieved by …

Estimating Highway Rehabilitation Projects Using Machine Learning, Samantha Ocaña, Silvia Flores-Osuna, Gasser G. Ali, Constantine Tarawneh

Civil Engineering Faculty Publications

Highways are a crucial part of the national infrastructure. As such, they are costly to construct and maintain; challenges such as deterioration, limited budgets, and cost uncertainty create a need for improved cost prediction of rehabilitation projects. This is especially true in the preliminary stage when all factors are unknown. Accordingly, this paper proposes a model to predict the cost of highway rehabilitation projects. A machine learning model is trained on large and publicly available datasets released by the Texas Department of Transportation (TxDOT), the National Oceanic and Atmospheric Administration (NOAA), and the Federal Reserve of Economic Data (FRED). These …

In-Orbit Demonstration Of The Vyom-2u: A Green Monopropellant-Based Propulsion System Onboard Isro's Pslv C60 Poem-4, Ashtesh Kumar, Tushar Jadav, Prashant Singh, Rajat Kumar, Sajo George, Sivakami S., Rohit Shanbhag, Neel Gharat, Shubham Singh, Henry Sam, Suman Vadla

Small Satellite Conference

Vyom 2U is a compact 2U green monopropellant propulsion system designed to deliver a total impulse of 1700 Ns. At Beginning-of-Life (BOL) conditions, corresponding to a tank pressure of 24 bar, the thruster can deliver up to 1.1 N with a specific impulse of approximately 250 s, while requiring a peak electrical power of 15 W. At an operating pressure of 14 bar, the propulsion system delivers a thrust of approximately 0.67 N with a specific impulse of about 238 s. This operating point was deliberately selected for in-orbit operations to maintain sub-newton thrust levels compatible with the attitude control …

Payload Selection To Correlate Shielding Performance With Molecular Structure And Elemental Composition For Rosisat: The Radiation Orbital Shielding Investigation Satellite, Chase Patterson, Jacob L. Blanton, Kylie Nager

Beyond: Undergraduate Research Journal

Exposure to space weather in the Low Earth Orbit (LEO) environment poses significant challenges to both the integrity and longevity of orbital hardware, as well as the health of astronauts, driving the necessity for improved means of radiation shielding for future missions. With a 1U CubeSat formfactor, ROSISat is a planned LEO mission that aims to characterize the radiation shielding capabilities of seven candidate materials: ultra-high molecular weight polyethylene, boron nitride, carbon nanotubes, boron nitride nanotubes with polyethylene fibers, carbon fiber reinforced composite, and aerographene, as well as two control materials: aluminum 6061 and ep33. By comparing the shielding performance …

Multi-Paradigm Contact Scheduling — Combining Automation And Flexibility In Gsaas Operations, Jake Urbanek, Giovanni Zanotti, Stefan Vlad Tudor, Giovanni Pandolfi Bortoletto

Small Satellite Conference

BACKGROUND

Ground segment operations must keep pace with increasingly demanding mission concepts of operation. For a GroundSegment-as-a-Service (GSaaS) provider, this means scheduling ground contacts against a diverse, often conflicting set of customer requirements, historically requiring bespoke scheduling logic. Leaf Line's baseline addresses this with two mechanisms: an automated Scheduler that computes guaranteed network-wide allocations 4 days ahead, and on-demand booking of unallocated capacity, first-come-first-served.

PROBLEM

Together, the baseline delivers strong service levels and network utilization, but two gaps emerged. The 4-day rolling horizon limits visibility into exact pass allocation beyond that window. And users needing specific pass times may find …

Layer 3 Switching, Todd R. Zatorski

Small Satellite Conference

Poster presented at the 2026 Small Satellite Conference

First Generation Of Project A.S.P.I.R.E. – A 1u Cubesat Mission For Technology Demonstration And Student Involvement In New Zealand, Shuanghui Zhao, Shunxing Shi, Kristen Lian, Rose Peens-Hough, Arami Peens-Hough, Changrui Wang, Joowon Hwang, Jerry Sun, Edward Sun

Small Satellite Conference

MOTIVATION

A feasibility study conducted at an Auckland secondary school in December 2024 found strong interest in satellite-related learning. Following an outreach presentation, 63 students (Majority aged 15 - 18) completed a questionnaire, with an average interest rating of 4.86/5. The most popular subjects were Orbital Physics, Mathematics, Mechanical Engineering, and Electrical Engineering (fig. 1).

Investigation Of A Demonstration Mission For Three-Dimensional Remote Sensing Using “Structured Radio Waves” With Orbital Angular Momentum, Hisatoshi Kimura, Tsukasa Funane, Yosuke Tanabe, Miki Yonehara, Makoto Ito, Keigo Nakamura, Yasuyuki Miyazaki, Satoshi Ikari, Shinichi Nakasuka, Koichi Watanabe

Small Satellite Conference

Background

• As a new radar technology for remote sensing, three-dimensional observation methods using electromagnetic waves with spatial phase distributions are being studied to obtain azimuth-angle information in addition to conventional radar measurements^[1].
• We are considering the use of “structured radio waves”, which are formed by superposing two radio waves carrying orbital angular momentum (OAM), as radio waves with spatial phase distributions^[2,3].

Purpose

• Evaluate the effects of satellite position and attitude errors on azimuth-angle estimation and clarify the requirements for a demonstration mission. 
• Assess the feasibility and provide recommendations.

Microsat For Refueling Mission Demonstrator In Vleo, Gyusun Kim

Small Satellite Conference

Recently, active research and technological development have been conducted on various mission application in VLEO(Very Low Earth Orbit) using MicroSat. However, the limited payload accommodation capability of MicroSat poses significant challenges for high optical resolution commercial or national-level practical missions. In contrast, satellites of 2,000 kg in size have performed well in low-Earth orbit for the very high optical resolution missions required so far (e.g., 30 cm-level resolution optical satellites) in 450 km ~ 600 km orbit altitude, but in order to meet the continuously increasing resolution requirements in the future optical imagery market (e.g., 15 cm-level resolution), the optical …

Enabling Earth Independent Navigation, Guidance And Control With The Autongc Flight Software Framework, Michael Romeo, Sun Hur-Diaz, Behnam Azimi, Sean Semper, Robert Pritchett, James Marshall, Liam Greenlee, Joseph Patton, Steven Slegel, Carl De Vries, Benjamin Leser, Andrew Liounis

Small Satellite Conference

autoNGC is a framework for enabling onboard autonomous Navigation, Guidance and Control. Encompassing flight software, ground system software, reference hardware platforms, and simulation/analysis tools, autoNGC is designed to be an end-to-end solution to enabling onboard navigation, guidance and control with minimal ground operator supervision.

Implemented as a suite of apps for NASA’s core Flight System (cFS), autoNGC is designed with a modular architecture, allowing it to be customized to meet the needs of nearly any mission. This modular architecture enables a high-degree of reusability, allowing autoNGC to be rapidly implemented on new missions.

autoNGC is built on Goddard-developed software products, …

Feasibility Study Of A 3d-Printed Thermally Insulated Battery Compartment For Cubesats, Michal Kolodynski, Konrad Kij, Michal Radawiec

Small Satellite Conference

Poster presented at the 2026 Small Satellite Conference

From Estimation To Certainty: Enhancing Smallsat Constellation Replenishment Planning With Physics-Based Solar Forecasting, Scott W. Mcintosh, Katherine Monson, Carolyn Belle, Chris Habib, Brianna Aubin

Small Satellite Conference

Poster Presented at the 2026 Small Satellite Conference

Launch Vehicle And Ground Infrastructure Development For Zero Launch Systems, Masahiro Kinoshita

Small Satellite Conference

ZERO is a two-stage, orbital-class launch vehicle designed to provide flexible, affordable, and localized space access.

Hitechsat-1: A Rapidly Integrable 3u Platform For University Cubesat Missions, Seho Kim, Miguel Nunes, Mohammed Irfan Rashed, Lance Yoneshige, Gabriel Guerrero, Scott Ginoza, Piper Kline, Luke Flynn

Small Satellite Conference

HITechSat (HTS) is a student-led CubeSat program at the Hawaiʻi Space Flight Laboratory, University of Hawaiʻi at Mānoa. HTS-1 is the first mission in the series: a 3U CubeSat deploying from the International Space Station (ISS) in mid 2027.

Comparison Between Low-Powered Gridded Ion Thruster And Hall Effect Thruster Operation For Small Satellite Applications, William Brabston, Kuei-Ru Chien, Michael Jaroonwit, Kevin Berg

Small Satellite Conference

In recent years, the small satellite space economy has experienced unprecedented growth with the emergence of low-cost dedicated and rideshare launch services. The resulting proliferation of small satellites creates a high demand for low cost, efficient electric propulsion systems to perform orbital maneuvers. Hall effect thrusters (HET) and gridded ion thrusters (GIT) are the two primary electric propulsion platforms for small sat applications, and they offer distinct advantages and disadvantages. Stellant, formerly Hughes, Boeing, and L3 Harris, is developing a lowpower GIT to meet these mission needs.

HETs produce thrust primarily through a highly coupled ionization and acceleration process, whereas …