Digital Commons Network^™

Deployment-Oriented Evaluation Of Temporal And Spatial Forecasting Approaches For Electric Vehicle Charging Demand In Energy Systems, Maher Alaraj, Eyob Solomon Getachew

All Works

Accurate short-term electric vehicle (EV) charging demand forecasting is important for charging infrastructure operation, grid management, and energy-system planning. This study presents a deployment-oriented and reproducible evaluation of temporal, spatial, and unified spatio-temporal forecasting approaches for day-ahead EV charging demand prediction. Using publicly available charging-session data aggregated at hourly resolution across ZIP-code regions, we compare persistence and ARIMA baselines, XGBoost, Long Short-Term Memory (LSTM) networks, Graph Convolutional Networks (GCNs), and a unified GCN+LSTM architecture under a consistent preprocessing pipeline, leakage-free validation protocol, and rolling-origin evaluation framework. For the Boulder ZIP-code dataset considered in this study, temporal information provided the dominant …

The Sliding Aperture Transform: A Mathematical Method Applied To Radiation-Induced Dlts Capacitance Transients, Md Abu Bakkar Siddique

Graduate Masters Theses

This thesis presents the Sliding Aperture Transform (SLAPt), a novel mathematical technique for extracting exponential argument and pre-factor  from experimental data. The method transforms measured waveforms into an inverse-domain representation where exponential decay processes appear as distinct peaks, simplifying data analysis and reducing the effects of baseline offsets and noise. The technique is here applied to time dependent capacitance transients associated with irradiated and non-irradiated silicon pn junction diodes. The technique is further developed and applied to positive argument exponentials using an axillary function. This allows forward bias  current-voltage measurements, and forward pulse-bias current transient measurements to be SLAP analyzed, …

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 …

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 …

Modeling Of A Two-Stage Extractive Distillation Process For The Separation Of 1,3-Butadiene From Pyrolysis-Derived C₄ Fractions, Muxriddin Xudoyor Og‘Li Ibodullayev, Jonibek Farxod O‘G‘Li Norqulov, Olim Rustamovich Abduraxmonov, Orifjon Sharipovich Kodirov

Chemical Technology, Control and Management

The separation of 1,3-butadiene from pyrolysis-derived C₄ fractions represents a challenging task due to the multicomponent nature of the feed and the close boiling points of accompanying hydrocarbons. In this study, a two-stage extractive distillation process was investigated using an acetonitrile–water solvent system to address these challenges. A semi-industrial experimental unit consisting of two extractive distillation columns connected in series was developed and analyzed, and the process configuration was supported by Aspen Plus simulation. The feedstock composition was characterized in detail, revealing that 1,3-butadiene constitutes approximately 40 wt.% of the C₄ fraction, accompanied by significant amounts of propylene, butanes, butanes, …

Methods For Treating Wastewater Generated During The Production Of Basalt Fiber Using Modified Bentonite Clay, Abdurasul O'Ktamovich Husenov, Baxtiyor Toxtayevich Sabirov, Diyor Asadullayevich Xadjibayev

Chemical Technology, Control and Management

This scientific article notes that in technological processes, wastewater is contaminated with various organic and mineral substances, including poisonous and toxic substances. Sources of environmental pollution include organic and inorganic substances formed during the production of basalt fiber. In this research work, the task is set to purify wastewater formed during the production of basalt fiber from organic substances. Bentonite clay is a very good natural sorbent and has the ability to purify some cations. When conducting laboratory experiments, bentonite clays from the "Azkamar" and "Navbahor" deposits were selected to purify wastewater formed during the production of basalt fiber from …

Mathematical Models Of Magnetoelastic Acceleration Transducers Developed Based On The Theory Of Lumped Parameter Circuits, Amirov Fayzullayevich Sulton, Kamila Kamilovna Jurayeva, Shovkat Dilshodovich Turayev

Chemical Technology, Control and Management

In this article, based on the theory of lumped-parameter circuits, algebraic and differential equations describing the mechanical, electrical, and magnetic circuits of new magnetoelastic acceleration transducers, their analytical solutions, as well as mathematical models establishing the relationship between the electromotive forces at the outputs of the transducers and acceleration, which is the input quantity of the transducer, have been developed. Analysis of these mathematical models and the graphs constructed on their basis shows that under the influence of acceleration applied to the transducers, with an increase in the mechanical stresses arising in the magnetic circuit of the transducer, a redistribution …

Optimal Procedure For Measuring The Parameters Of Optical Signals Considering Noise, Yuriy Gennadyevich Shipulin, Azimjon Mamadaliyevich Xusanov

Chemical Technology, Control and Management

It has been shown that to achieve the required level of measurement accuracy and reliability, it is necessary to transition from quality control of finished products to quality management based on cost-effective methods during the stages when product properties are formed. It is shown that the complexity of measuring optical signal parameters during analysis or synthesis requires them to be considered as part of a general information processing system. Based on the nonlinear filtration method, an optimal procedure for measuring a variable position in time against a background of spatial noise was obtained. Structural diagrams of optimal measuring instruments for …

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. …

Fast Algorithms For Combined Synthesis Of Dynamic Object Control Systems, Isomiddin Khakimovich Siddikov, Gulchexra Alimova

Chemical Technology, Control and Management

The paper considers the issues of combined synthesis of a control system for a nonlinear dynamic object. The combined synthesis algorithms are based on the hybrid application of the theory of ordinary differential equations in the Cauchy form and the theory of automatic control. In this case, the dynamics of the control system are described in the input-output representation and by state-space equations. Algorithms for solving stabilization problems, finite control, and the inverse dynamics problem are presented in explicit form. These algorithms are based on the concept of reducibility of a general Cauchy-form system to the block-canonical Frobenius form. The …

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 …

Performance Evaluation Of Controllers Using Fuzzy Delphi And Ahp Techniques, Kamala. R. Aliyeva, Nihad Mehdiyev, Shamil Mehdi

Chemical Technology, Control and Management

This study introduces an enhanced decision-support framework that integrates the Fuzzy Delphi method with the Analytic Hierarchy Process (AHP) to improve controller tuning and performance evaluation in uncertain environments. Traditional tuning techniques typically depend on crisp expert judgments and deterministic performance indices; however, industrial control systems are characterized by nonlinear behaviors, uncertain parameter variations, and subjective expert evaluations that are often vague or inconsistent. The Fuzzy Delphi procedure is applied to systematically gather, filter, and consolidate expert insights, enabling a refined set of performance criteria such as stability margins, robustness to disturbances, settling time, overshoot, control effort, and energy consumption …

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 …

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 …

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. …

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 …

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 …

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.

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

Capillary Pressures Of Hydrogen-Brine In Carbonate And Dolomite Rocks Under Stress And With Pore Pressure, Nilesh Kumar Jha, Faisal Awan, Mathieu Roger, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

The recent discovery of high purity natural hydrogen in South Australia prompts the need for hydrogen-brine capillary pressure data to understand the behavior of fluid movement in the rock matrix. Furthermore, this investigation provides deeper insights into the suitability of carbonate reservoirs for potential large scale hydrogen storage and its deliverability. We measured core-scale drainage and imbibition capillary pressures for hydrogen-brine systems in limestone and dolomite under stress and hydrogen pore pressure, using advanced centrifuge techniques. Drainage capillary pressures range from 0.23 MPa (33.2 psi) to 0.02 MPa (3.2 psi) at 57.3-80.2% brine saturation in limestone and 72.7-99.8% in dolomite …

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.

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 …

Resilient Positioning And Resident Space Object Identification Using Miniaturized Star Tracker Hardware, Justin Kruger, Aviad Golan, Simone D’Amico

Small Satellite Conference

Robust alternative positioning, navigation, and timing (APNT) is a critical enabling capability in orbits where GNSS availability is degraded or denied.

Timely, accurate space situational awareness (SSA) knowledge is necessary for autonomy and safety in dynamic space environments.