Digital Commons Network^™

Using Clustering Techniques And Mitre Att&Ck Threat Interpretation To Detect Anomalies In Modbus/Tcp For Industrial Control Systems, Shivanjali Khare, Tirthankar Ghosh, Jhansi Sreya Jagarapu, Atharva Haridas Sagare

Journal of Cybersecurity Education, Research and Practice

Recent attacks on America's critical infrastructure have drawn increased attention on securing industrial control systems and operational technology in power plants, utility companies, and other sectors providing public services. Attack detection and mitigation strategies on these systems have shown promising results using machine learning and other statistical baselining techniques, mostly using supervised learning and classification. Unsupervised learning using cluster analysis and other techniques remain mostly unexplored. In this paper, we propose multi-layered feature extraction and hybrid clustering framework to detect fine-grained nested attack patterns in Modbus-over-TCP traffic. Operating under the assumption of known number of distinct network categories, our approach …

How Do Governments Combat Jihad Online?, Noah Cook

Honors College Theses

Since the September 11th, 2001 attacks, jihadist groups like ISIS, al-Qaeda, and al-Shabaab have used the internet as a tool for recruitment, radicalization, and propaganda dissemination. Since then, governments, non-governmental organizations, and private companies have developed strategies to combat jihadism on the internet. This paper examines how these actors have worked to mitigate the digital jihadist footprint and its effects by analyzing three main approaches to countering violent Islamist extremism on the internet: counter narrative initiatives, awareness-raising programs, and content removals. This paper finds that each of these methods has its own strengths and weaknesses. Counter narrative campaigns show the …

Motor Imagery Eeg Decoding For Brain-Computer Interfaces: Structured Representation, Transfer, And Drift, Yiming Shen

Graduate Doctoral Dissertations

Motor imagery EEG decoding is often summarized by the accuracy of a final classifier, but the classifier is only the last stage of the pipeline. Before classification, the signal has already been shaped by preprocessing, feature extraction, source-session organization, and adaptation. This dissertation studies how feature representation, source-session transfer, and drift shape reliable MI-EEG decoding for brain-computer interfaces.

It first studies within-session decoding on public MI-EEG datasets using nested validation that keeps preprocessing, feature fitting, and model selection inside the training folds. This analysis separates gains from feature representation from gains due to nonlinear classification, and relates both comparisons to …

Determination Of The Content Of Water-Soluble Vitamins In The Composition Of Beet Beetroot Composition, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, Muhammad Rasul Oglu Najafli, Doston Ishmuhammat Ugli Samandarov

Chemical Technology, Control and Management

The aim of this study was to determine the content of water-soluble vitamins in various parts of beetroot (pulp, leaves and stems) that had been subjected to various drying methods in a bid to explore the effect of physical processes, i.e., the application of ultrasound, on micronutrient preservation. The experiments were performed at the Department of Service Technologies of Tashkent State Technical University, and chromatographic analysis was performed in the Institute of Bioorganic Chemistry of the Academy of Sciences of the Republic of Uzbekistan. Chromatography was performed on Agilent-1200 chromatograph with Exlipse XDB C18 column and diode array detector using …

Development And Uncertainty Assessment Of Secondary Method For Ph Measurement In Physicochemical Measurements, Sarvar Rakhmatullaev, Dostonbek Xujakulov, Mohinur Nigmatova

Chemical Technology, Control and Management

In physicochemical measurements across various industries, laboratory analyses commonly require the determination of pH as an indicator of hydrogen ion activity in aqueous solutions. Ensuring the accuracy and reliability of these measurements, obtaining precise readings from pH measuring instruments, and maintaining overall measurement quality represent critical challenges in guaranteeing the safety of both products and processes. This requires constant monitoring, accuracy assessment, calibration, metrological verification, and control of measuring instruments. In this case, it should be carried out not with solutions prepared in any laboratory, but with certified reference materials (СRM) with appropriate regulatory framework, ensuring metrological observation. …

Robust-Adaptive Estimation Of Unmeasurable States And External Disturbances Of A Dynamic Object Based On An Augmented Kalman Filter, Husan Igamberdiev, Uktam Farkhodovich Mamirov, Lu Liu, Bohong Wang, Bunyod Buronov

Chemical Technology, Control and Management

The paper addresses the problem of joint estimation of the directly unmeasurable states of a dynamic object and of external disturbances when information is available only on the control inputs and on the measured output signals. To solve this problem, a robust-adaptive algorithm based on an augmented Kalman filter is proposed, in which the external disturbance is included in the extended state vector. Two operating modes of the algorithm are considered. For slowly varying disturbances, a random-walk model with a constant process-noise covariance is used, whereas for rapidly varying inputs a signal adaptation  driven by the normalized innovation is proposed. …

Analysis Of The Throttle Settings Under Uncertain Information, Latafat Gardashova, Nihad Afandi

Chemical Technology, Control and Management

Although classical fuzzy logic controllers are capable of modelling non-linear control systems, they fail to consider the reliability of linguistic information, sensor measurements, and expert knowledge. In this paper, an intelligent controller based on the use of Z-numbers is developed for steam-turbine throttle control. Linguistic information and its confidence degree are considered simultaneously in such a controller. The temperature and pressure values are taken as input variables, while the throttle rotation is selected as the controller output variable. At first, the Z-number representation system is constructed to include the credibility of linguistic measurements and control rules. Then, a Mamdani Type-1 …

Nonlinear System Identification Based On Fuzzy Radial Basis Neural Network With Multi-Connected Weight Connections, Kabul Khudaybergenov

Chemical Technology, Control and Management

This paper builds on our earlier radial basis function network with multiple connections (RBFMC) by placing it within a fuzzy inference framework for nonlinear system identification. The idea is inspired by the diversity of neurotransmitters found in biological neurons: instead of a single hidden-to-output weight, RBFMC gives each hidden unit a multi-dimensional connection whose components act as independent filters. Once fuzzy logic is added, each hidden neuron becomes a fuzzy rule, and its antecedent is built from several Gaussian membership functions, one per connection. The resulting Fuzzy RBFMC produces an interpretable, multi-filter description of local regions of the input space …

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 …

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 …

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 …

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 …

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 …

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, …

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

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).

Mission Orientated Flight Software Development: Cubestep, Tirth Thakkar, Howard Lee, Viren Kumar, Maranda Laws, Shridhi Seth, Marco Maggia, Navid Nakhjiri

Small Satellite Conference

Small satellite teams often develop flight software and mission operations separately, leading to software behaviors that drift out of sync with ground procedures. To fix this, we present a co-design approach that directly links mission goals and operational procedures to the onboard flight software architecture. Demonstrated on the CubeSTEP-Cerberus mission using NASA’s F′ framework and FreeRTOS, our system maps mission intent into five constrained software states (Initialization, Safe, Idle, Experiment, and Transmit) guarded by automated health checks. This co-design strategy ensures the spacecraft acts autonomously to preserve its goals while strictly maintaining operator control over critical decisions.

Spot: A Cubesat Mission For High-Resolution Monitorig Of Anthropogenic Sulfur Emissions, Carla Roesch, Colleen Golja, James Custer, Catherine Ember, Jerome Woodwark, Andrew Matheson, Joshua Vande Hey, Sonymol Vk, Steven Heer, Zixuan Gao, Tim Trent

Small Satellite Conference

Resolving individual industrial sources of SO₂ to constrain aerosol forcing — one of the largest remaining uncertainties in Earth's energy budget.

Comparative Analysis Of Reaction Wheels And Control Moment Gyroscopes For High-Capacity Orbital Data Centers In Sun-Pointing Mission Profiles, Chih Ta Wu, Po Hsun Yen, Jen Hao Cheng, Kai Kuo Liao, Shang Jung Lee

Small Satellite Conference

• Orbital data centers (ODCs) are moving from concept to near-term engineering: Starcloud (5 GW), Meta / Overview Energy (1 GW SSP), SpaceX (up to 1M-satellite FCC filing).
• Multi-kW to GW-class compute demands solar arrays of unprecedented scale → extreme inertia and disturbance torques.
• Can Reaction Wheels (RWs) vs Control Moment Gyroscopes (CMGs) hold an ODC in a sun-nadir pointing profile?

Robust Learning-Based Guidance For Close Proximity Operation Scenarios, Luis Sanchez, Charlotte Crawshaw, Reuben Lynch, Natalia Bajnokova, Murray Ireland, Hazel Quibell, Callum Wilson, Lucy Donnell, Maura Allan, Kevin Worral, Matteo Ceriotti

Small Satellite Conference

ROC-ML is a European Space Agency (ESA) funded project led by Craft Prospect in collaboration with University of Glasgow. The project leverages Machine Learning (ML) approaches to augment the performance of robust motion planning in space applications. The developed method of spacecraft motion planning must be suitably computationally efficient to be deployed on low SWAP space hardware.

Toward Public Access To On-Orbit Propulsion Data From Equuleus: Preparing Real Flight Data For Community Use, Hiroyuki Koizumi, Isamu Moriai, Hokuto Sekine, Keita Nishii, Mariko Akiyama, Shintaro Nakajima, Yosuke Kawabata, Yasuho Ataka, Shunichiro Nomura, Ryota Fuse, Ryu Funase

Small Satellite Conference

EQUULEUS is a 6U lunar exploration CubeSat, jointly developed and operated by the University of Tokyo and the Japan Aerospace Exploration Agency (JAXA). It was launched in November 2022 by the Space Launch System (SLS) into a lunar transfer orbit and achieved insertion into a trajectory toward the Earth–Moon Lagrange region through multiple lunar flybys using its onboard water resistojet propulsion system AQUARIUS. The EQUULEUS primary mission is the demonstration of trajectory control technology in the Sun-Earth-Moon region for the first time by a nano-spacecraft.

Revisit Performance Analysis Of Narsha Microsatellite Constellation For Point-Source Ghg Monitoring, Jinyoung Shin, Geuk-Nam Kim, Taemin Kim, Jaemin Hong, Joohee Lee, Marcin Badowski, Seongwhan Lee

Small Satellite Conference

Although microsatellite missions under 100 kg have demonstrated advanced capabilities in detecting localized CO2 and CH4 emissions, the effectiveness of these systems hinges on their spatial and temporal coverage and observation validity under diverse environmental conditions.

Factors such as solar zenith angle (SZA), viewing zenith angle (VZA), surface albedo, weather, and source persistence influence their performance.

Against this background, this study evaluates the spatial and temporal coverage performance of microsatellite-based GHG observation systems through numerical simulations incorporating environmental and instrumental conditions.

A Stackable Multi-Mppt Power Architecture With Paralleled Inputs For Scalable Cubesat Solar Energy Harvesting, Muhammed Syedali N., Anamika A. Kamath, Nithin Krishnan S. S., Ashfaque K. P., Sijo George, Arun P., Jr-Chiun Roger Tsai, Tensae Ali, Jesmin Jose, Athira B. S.

Small Satellite Conference

In traditional CubeSat configurations, the Maximum Power Point Tracking (MPPT) circuit acts as a critical single point of failure because all harvested solar energy is funneled through a single, non-redundant conversion stage. Consequently, the failure of this individual component completely blocks power delivery to the system, permanently stranding otherwise healthy solar arrays and batteries and causing catastrophic mission termination.

This work introduces a modular, stackable solar energy architecture that distributes power conditioning across multiple identical, autonomous modules connected to shared PV and battery buses. By relying purely on analog input-voltage regulation at a common operating point, it eliminates radiation-vulnerable digital …

Autongc Flight Opnav Experiment Results On Capstone, Andrew J. Liounis, Sun Hur-Diaz, Behnam Azimi, Nichalas L. Cason, Chris R. Gnam, Grant Hecht, Steven Z. Queen, Michael J. Romeo, Sean R. Semper, Nathan Stacey, Andrew Tennenbaum, Daniel G. Berdugo, Carl J. De Vries, Benjamin Leser, Anne Long, Liam A. Greenlee, Joseph W. Patton, Steven B. Slegel, Isaac R. Witte

Small Satellite Conference

Summary: We successfully demonstrated on-board automated optical navigation (OpNav) in a lunar near rectilinear halo orbit (NRHO) using images of the Moon, the Earth, and other solar system bodies, advancing the technology readiness level (TRL) of the autonomous guidance navigation and control (autoNGC) OpNav capabilities from 5 to 7.

Development Of Spacecraft Digital Twins For Flight Software Maintenance, Robert Klar

Small Satellite Conference

This research project developed a digital twin—a virtual representation of a physical spacecraft, including its components, interfaces, and communications. By leveraging the digital twin’s ability to be replicated, modified, and distributed efficiently, the project enhances capabilities in design, analysis, and optimization. It significantly reduces risk, cost, and development schedules for flight software by minimizing dependencies on hardware resources. The project was executed as a collaborative effort between the Intelligent Systems Division (10) and Space Systems Division (05).