Digital Commons Network^™

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 …

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 …

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 …