Engineering Commons^™

Practical Experiments Conducted On Determining The Air Velocity At The Inlet And Outlet Of The Intensive Separator And Processing Of The Obtained Results, Ilxom Zapirovich Abbazov, Kudrat Sherzadovich Khodjayev, Bobir Nabijon Ugli Sharopov, Rashid Kaldybaev

Technical science and innovation

In the primary processing of cotton raw materials, the means of storing cotton, transporting it from the gins to the departments, and transferring the product between departments are pneumatic conveying devices. Separators are devices for separating cotton from the air and cotton mixture in such pneumatic conveying devices. Separators are used in two types of conditions, namely, in a mobile or stationary state. The device for separating cotton from air consists of three main working parts: they are the parts for feeding cotton into the working chamber, separating it from the air flow, and removing cotton and air. These parts, …

Estimating Snow Coverage Percentage On Solar Panels Using Drone Imagery And Machine Learning For Enhanced Energy Efficiency, Ashraf Saleem, Ali Awad, Amna Mazen, Zoe Mazurkiewicz, Ana Dyreson

Michigan Tech Publications

Snow accumulation on solar panels presents a significant challenge to energy generation in snowy regions, reducing the efficiency of solar photovoltaic (PV) systems and impacting economic viability. While prior studies have explored snow detection using fixed-camera setups, these methods suffer from scalability limitations, stationary viewpoints, and the need for reference images. This study introduces an automated deep-learning framework that leverages drone-captured imagery to detect and quantify snow coverage on solar panels, aiming to enhance power forecasting and optimize snow removal strategies in winter conditions. We developed and evaluated two approaches using YOLO-based models: Approach 1, a high-precision method utilizing a …

Effective Cleaning Of Cotton In A Saw Gin, Rustam Shennikovich Sulaymonov, Amirqulovich Begzod Irgashev, Zarshid Omonov Jumanazar O'G'Li

Technical science and innovation

In order to improve the efficiency of the cotton cleaning process and improve the quality of the fiber, the Gin feeder was improved with a colosnik grid. This constructive change serves to more effectively separate cotton raw materials from impurities and reduce the likelihood of fiber damage. Studies have found that the cleaning efficiency of the feeder in cleaning Cotton of varieties I and III has increased by an average of 2.4 (abs)% compared to the current system. Fiber quality also improved by 0.46% (abs) for Type I cotton and 0.22% (abs) for Type III cotton. Experimental results showed that …

Painting Rich Six-Dimensional Pictures Using Polarized Fluorescence Microscopy, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

No abstract provided.

Mechanical Cleaning Of Industrial Exhaust Gases By Wet Method., A. A. Turgunov, E. A. Egamberdiev, R. F. Rashidov, A. A. Kholmurodov, D. J. Ergash

Technical science and innovation

Environmental protection is a priority area of human development. This paper presents the materials of scientific research of the creative group of the Tashkent State Technical University named after Islam Karimov, aimed at mineralization of the load on the environment, in particular on the atmospheric air of industrial enterprises. One of the more accessible solutions to this problem is the use of modern, more efficient devices for capturing and neutralizing exhaust gas emissions into the atmosphere from industry. Today, the use of mechanical methods for capturing pollutants is relevant due to the simplicity of design and operation. Wet methods for …

Adaptive Control System Of Nonlinear Dynamic Object On The Basis Of Neuro-Fuzzy Networks, Isomiddin Xakimovich Siddikov, Dilnoza Maxamadjanovna Umurzakova

Technical science and innovation

The presented paper is devoted to the development of an adaptive control system for a nonlinear dynamic object using neuro-fuzzy networks. The authors note that in real conditions dynamic objects function under conditions of uncertainty, which are characterised by complex and poorly understood relationships between technological variables, the presence of perturbing and random disturbances, as well as nonlinear elements. This makes it difficult to apply traditional linear adaptive control algorithms. The use of self-organising adaptive control is proposed, in which the mathematical model of the controlled system is formed by operational identification during system operation. It is shown that linear …

Development Of Analytical Dependencies For Determining Kinematic Parameters Of The Drive Of The Working Engine Of The Mixing Machine, N. A. Maksudova

Technical science and innovation

The requirement of any technological process of product preparation is intensive mixing. This ensures uniform distribution of components. At the initial stage of designing planetary mechanisms, special attention is paid to determining the kinematic parameters. The dimensions, weight and design of the mechanism depend on the value of these parameters. The main criterion for assessing the scheme of the planetary mechanism is the kinematic parameters of the gear wheels of the mechanism. The article presents a kinematic scheme of the planetary mechanism of the kneading machine. The principle of rotation of the gear wheels of the planetary mechanism of the …

Modern Ir-Spectroscopic Methods For The Analysis Of Hydroxybenzene-Methanal Resin Obtained On The Basis Of 2,5-Furandion, Sherali Anvarovich Umarov, Ravshan Israilovich Ismailov Ismailov

Technical science and innovation

The chemical changes occurring during the synthesis of hydroxybenzene-methanal resins obtained on the basis of 2,5-furandion under various ratios and temperature conditions were investigated using the IR spectroscopic method. Analysis of the compositional changes in the resin during the production of the thermoreactive resin revealed that the content of hydroxyl groups (~3300–3500 cm⁻¹) decreased, while the aldehyde groups (~1700–1750 cm⁻¹) increased; moreover, the presence of ether groups (~1050–1150 cm⁻¹) indicated that the process was successful. The synthesis of resins based on thermoreactive hydroxybenzene-methanal resins was carried out at high temperatures (70°C, 80°C, 95°C). During the identification of the functional groups …

Development And Analysis Of The Kinematic-Dynamic Model Of The Rehabilitation Exoskeleton System, Umidjon Abdumutalipovich Takabaev, Zafar Botirovich Juraev

Technical science and innovation

Designing modern rehabilitation exoskeleton systems requires a comprehensive study of human-machine interactions. In this process, creating kinematic and dynamic mathematical models of the system is extremely important. In this paper, we develop mathematical models that describe rehabilitation exoskeleton systems' kinematic and dynamic properties. Based on the Denavit-Hartenberg method we construct kinematic model of the exoskeleton system. The method gave us to determine the coordinate system for each joint. Furthermore, we also study the motion range of joints of the exoskeleton. Modeling the dynamic properties of the system performed with the second-order Lagrange equation. The exoskeleton construction consisting of knee, thigh, …

Theoretical Analysis Of The Fiber Flow Movement Under The Influence Of Columns, Avazbek Azamatovich Obidov, Rashid Gulomjonovich Rakhimov

Technical science and innovation

During the study, the optimal design for testing the improved fiber cleaning device was initially selected, and a process flow diagram of the fiber cleaning chamber was created for theoretical studies. According to this process flow diagram, based on theoretical studies, the behavior of fibers in the grate of the fiber cleaning device was studied, and the effect of changing the geometric parameters of the grates on the cleaning efficiency was determined. Using the developed mathematical model, graphs were constructed for the dependence of the fiber flow rate on the angle of coverage at different values of the angular speeds …

Sorption-Spectroscopic Method For Determining Mn Ions In Wastewater, Zulayho Asanalievna Smanova, Zukhra Ziyatovna Yakshieva, Nazira Kuchkarbayevna Madusmanova, Gulyorkhon Otkir Qizi Miradkhamova

Technical science and innovation

In this article, the processes of metal complex synthesis are studied in detail. Zinc OEDF+NTF complexation reactions were carried out in the presence of polyhydric alcohols, ethylene glycol, glycerol, and citric acid. For the first time, the synergistic efficiency of a mixture of zinc OEDF+NTF complexes with methyldiethanolamine, used as an inhibitor of mineral salt accumulation, was studied. It was found that when selecting the components in equivalent amounts, the inhibition efficiency of the composition is at least 90%. The high efficiency of inhibiting mineral salt accumulation in the composition is due to the presence of methyldiethanolamine, alkylimidazoline, and their …

The Influence Of Dispersed Fillers On The Mechanical Properties Of Sulfur Polymer Heterocomposites, Erkin Abdukhafizovich Rakhmatov, Durdiymurad Gurbanovich Gadamov, Umida Alijonovna Ziyamukhamedova, Jasurbek Himmat Ugli Nafasov, Elbek Tukhtanazar Ugli Turgunaliev, Shokhjakhon Uktam Ugli Abdurakhimov

Technical science and innovation

This article discusses improving the physical, mechanical, and operational properties of composite materials modified with sulfur-containing plasticizers used in the modern construction industry. Furthermore, based on an in-depth analysis of the literature, the types and sizes of fillers and the significance of their mixing technology in the formation of a structure with low porosity of a composite material with a sulfur binder have been studied. The article thoroughly describes a method for obtaining a composite material with a stable sulfur-containing binder, the processes of preparing a solid filler, impregnating the filler with an organic modifier, humidifying and heating the filler …

Some Results Of Studying The Connection Between Geodynamic Processes And Observed Anomalous Electromagnetic Phenomena, Botir Khamidovich Khaydarov, Umar Abdullaevich Najmiddinov

Technical science and innovation

This article provides information about various cases of anomalous changes in electromagnetic fields recorded in real field conditions in seismically active areas in connection with the occurrence of earthquakes and various assessments and interpretations of the noted anomalies are carried. The main attention was focused on the consideration of the concept of changes in the conditions of waveguide propagation of atmospherics and the model of surface emitters. There is considered сevery reason to believe that both mechanisms can manifest themselves separately or together depending on the nature of the process, the rheology of the medium and other geophysical conditions, just …

Installation Of Self-Controlled Floating Bars At Water Intake Pipelines Of Pumping Stations, Oleg Yakovlevich Glovatsky, Rustam Khujakulov, Fakhriddin Jaylovovich Nasirov, Ilhom Islamov, Jorabek Abdurahman Uralov, Shakhboz Amirov

Technical science and innovation

In modern conditions, to maintain a favorable hydraulic regime on mechanical water lifting systems, it is rational to use protective structures on watercourses that use the energy of the water flow in the form of a floating tank. Based on the obtained theoretical principles, fundamentally new self-controlled floating structures were created and the hydrodynamic characteristics of the movement of an unsteady three-dimensional flow for the parameters of the wing profile were refined. The theory of unsteady three-dimensional movement of a multiphase flow with its artificial stratification and protection from selected phases in depth is used by floating guide systems at …

03.31.2025 Ored Connect, Liz Williamson

ORED Newsletter

Indirect Cost Rate Agreement

NIH Transition to Common Forms

NIH Implementation of New Initiatives and Policies

Reweighting Configurations Generated By Transferable, Machine Learned Models For Protein Sidechain Backmapping, Jacob Monroe

Chemical Engineering Faculty Publications and Presentations

Multiscale modeling requires the linking of models at different levels of detail, with the goal of gaining accelerations from lower fidelity models while recovering fine details from higher resolution models. Communication across resolutions is particularly important in modeling soft matter, where tight couplings exist between molecular-level details and mesoscale structures. While multiscale modeling of biomolecules has become a critical component in exploring their structure and self-assembly, backmapping from coarse-grained to fine-grained, or atomistic, representations presents a challenge, despite recent advances through machine learning. A major hurdle, especially for strategies utilizing machine learning, is that backmappings can only approximately recover the …

Unveiling The Transformative Power Of Unsupervised Machine Learning Through Clustering, Vishnu S. Pendyala

Open Educational Resources

Clustering methods demonstrated their transformative potential across various industries through image segmentation, anomaly detection, bioinformatics, and customer segmentation. The presentation explores these techniques in unsupervised machine learning, focusing on foundational clustering algorithms such as K-means, Hierarchical Clustering, and DBSCAN. Through an in-depth analysis of their underlying principles and computational intricacies, the presentation highlights how these methods have evolved to address complex, high-dimensional data problems. The presentation provides insights into how K-means remains a versatile tool for partitioning data in linear spaces. It delves into Hierarchical Clustering's unique approach to building dendrograms and capturing multi-scale data relationships, and how DBSCAN's density-based …

Evaluation Of Gfap And Ptau Protein Expression In Male And Female Cci Mouse Models, Sara Wallace

Honors Program: Senior Projects (Public)

Traumatic Brain Injury (TBI) is a serious public health concern that leads to the death or disability of thousands of individuals in the US annually. Progression of TBI involves primary damage from the initial, mechanical injury and secondary damage, from nonmechanical, pathological dysfunction. The secondary damage mechanisms can be better understood, diagnosed, and treated through the quantification of TBI biomarkers. The two biomarkers of interest in this study are pTau and GFAP. The male and female mouse models showed similar significant increase in GFAP following injury, as well as a general lack of increase in pTau expression following the injury. …

Evaluating And Improving U.S. National Water Model Evapotranspiration Estimates Through Eddy-Covariance Flux Tower Observations And Machine Learning Post-Processing, Abin Raj Chapagain

Theses and Dissertations

Despite ET's critical importance in the hydrological cycle, very little has been done to provide ET forecasts at a national level. This study comprises two research chapters examining the National Water Model's (NWM) evapotranspiration (ET) simulations. In Chapter II, we conducted the first comprehensive NWM ET model performance assessment by comparing simulations to eddy-covariance flux tower measurements across the Continental United States (CONUS) on a high-resolution, 1 KM square grid. We clustered results by National Weather Service (NWS) River Forecast Centers (RFCs), land cover classifications, elevation bands, and Köppen-Geiger Climate Zones. The NWM performs best in the Northeast and Ohio …

Correlation Of Socioeconomic Characteristics And Maintenance Level Of Houses In Mass Housing Scheme In Ilorin, Nigeria, Oladimeji Samuel Bolaji, Abubakar-Kamar Tayo Aishat, Adeyemi Olabanji Lukman, Arosanyin Mofeoluwa Victor

Architecture and Planning Journal (APJ)

It is a common belief that certain behaviors are influenced by a person's social level. This claim is taken to apply to housing maintenance in any society, whether it is owned or rented. The aim of this study is to identify the socioeconomic indicators that are most predictive of the maintenance level of houses in mass housing schemes in the metropolis of Ilorin, Nigeria. Both primary and secondary data were used in this investigation. Qualitative and quantitative data through structured questionnaires administered on 1125 household heads constituting 27% of the sample frame were collected from sixteen (16) mass housing schemes …

Evaluating Coal-Jatropha Curcas Composite Briquettes As Sustainable Fuel Alternatives, Amad Ullah Khan, Muhammad Saleem, Muhammad Abas, Zakir Ullah, Khan Muhammad, Farida Anjum, Aamer Sharif, Melkamu Tadesse Getachew

Research outputs 2022 to 2026

Coal is a major fuel source but raises environmental concerns. This study investigated the feasibility of utilizing a composite briquette sustainable fuel produced from subbituminous coal and Jatropha curcas biomass. Briquettes were prepared with varying weight ratios of coal to J. curcas biomass (90:0–0:90) using corn starch as a binder. The influence of this ratio on the briquettes’ properties was comprehensively evaluated through proximate analysis, ultimate analysis, scanning electron microscopy (SEM), and X-ray fluorescence (XRF) analysis. The results revealed that increasing the J. curcas content in the briquettes gradually decreased the moisture content, ash content, and fixed carbon content while …

Occupational Safety Culture In Modern Aviation Maintenance, Sang-A Lee

Journal of Aviation Technology and Engineering

Aviation maintenance is paramount to the safety and efficiency of global air travel. Disturbingly, 2022 data revealed an unprecedented surge in severe injuries among aircraft maintenance technicians in the United States, prompting renewed scrutiny of the aviation maintenance occupational safety culture. In light of these developments, a systematic literature review was conducted to discern the influential factors shaping this safety culture, especially considering the industry’s rapid technological advancements. The review process involved meticulous key word searches, stringent article selection criteria, and qualitative data analysis software to interpret findings. From the synthesis of 35 peerreviewed articles, nine pivotal constructs emerged: (1) …

Exploring The Impact Of Multiwall Carbon Nanotubes On Enhancing Water-Based Mud Performance, Attia Attia, Mohamed Saad Elhossieny Dr., Hesham Abuseda Dr., Ahmed Gouish Prof., Adel Salem Prof.

Petroleum Engineering and Gas

Drilling fluids are critical components in hydrocarbon and geothermal well construction, particularly in extreme downhole environments such as deep reservoirs and high-temperature geothermal systems. Key challenges in designing water-based drilling muds (WBDM) for these applications include effective thermal management, maintenance of rheological stability, and enhancement of thermal conductivity under high-temperature, high-pressure (HTHP) conditions. Recent advances in nanotechnology suggest that nanoscale additives, such as uniformly dispersed carbon nanotubes (CNTs), can significantly improve the thermorheological performance of drilling fluids compared to conventional formulations. However, stabilizing critical fluid properties—including viscosity, filtration efficiency, mud cake integrity, and gel strength—remains a persistent challenge in WBDM …

Accurate And Scalable Control-Flow Differential Analysis On System Traces, Yuta Nakamura

College of Computing and Digital Media Dissertations

Debugging and understanding system behavior pose technical challenges, often necessitating the comparison of two audited execution traces. Although provenance systems execution traces, the audited traces at most enable causal analysis within a single known execution. As a result, utilizing provenance systems differential analysis thus for debugging and reasoning is a challenging task. This thesis addresses the challenge of using provenance in debugging by developing accurate and scalable methods for differential analysis of system provenance. Our approach emphasizes the importance of knowing the application’s provenance graph structure and embedding this graph structure information within traces to conduct a precise differential analysis …

Volatile Organic Compound (Voc) Sensing Trend Among Novel 2d/3d Materials, Mohammad Shakhawat Hossain

USF Tampa Graduate Theses and Dissertations

Volatile Organic Compounds (VOCs) present significant health risks to both humans and animals. Long term exposure to certain VOCs belonging to certain chemical classes can cause both short- and long-term effects including nausea, damage to the central nervous system, and cancer. VOCs can be found in various everyday products like varnishes, paints, cooking items, cleaning products, nail polishes etc. Because of their ubiquitous nature, health concerns and risks regarding VOC exposure have become even more pressing. In this study, the VOC sensing capabilities and trends of novel 2D, and 3D materials (perovskite, and phthalocyanines) have been explored through electrochemical and …

Automated Data Analysis For Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry

USF Tampa Graduate Theses and Dissertations

Concussions are a prevalent and complex medical condition requiring careful clinical assessment and data-driven insights for effective management. This thesis presents the development of an automated data analysis system for concussion patient records, integrating Flutter-based desktop application development with SQL-driven data processing. The system provides a streamlined, interactive interface for clincians and researchers to upload, visualize, and analyze patient data efficiently.

The proposed solution automates data cleaning, preprocessing, and statistical analysis, ensuring robust and reliable insights into demographic, clinical, and recovery-related factors. Key analyses include sex-based differences injury mechanisms, prior head injury impact, mood disorder correlations, and time-to-treatment variations. The …

Multimodal Ai-Driven Biomarker For Early Detection Of Cancer Cachexia, Sabeen Ahmed

USF Tampa Graduate Theses and Dissertations

Cancer cachexia is a metabolic syndrome characterized by substantial skeletal muscle loss, impacting cancer patients' survival and quality of life. Despite its clinical significance, early detection remains a challenge due to the lack of standardized diagnostic criteria and the reliance on indirect markers. This work presents an AI-driven approach to enhance cachexia detection and monitoring by integrating multiple deep learning methodologies. We explore transformer architectures for time-series analysis to model sequential medical data, enabling disease prediction and progression modeling. To ensure robust and reliable decision-making in clinical settings, we explore Bayesian deep neural networks for uncertainty estimation. Additionally, we introduce …

Enhancing Ai Reliability: Probabilistic Inference And Neural Optimization, Behnam Zeinali Rizi

USF Tampa Graduate Theses and Dissertations

Deep neural networks have recently shown better performance than traditional machine learning algorithms in various applications such as computer vision, natural language processing, indoor navigation, and biomedical signal/bio-informatics data processing tasks. However, some main challenges still exist when harnessing these models for different applications. The first challenge is the performance of these methodologies for some specific types of data, such as Biomedical images, IMU measurements, and even bioinformatics data, such as genome expression. Moreover, deploying these models on mobile and IoT devices is computationally challenging. Most devices use cloud computing, where powerful deep-learning models analyze the data on a server. …

Autonomous Underwater Vehicle Planning Using Hybrid D* Lite With Ppo And Td3: Experimental Design And Performance Analysis, Matthew J. Rice

Undergraduate Theses

Autonomous Underwater Vehicles (AUVs) face significant challenges in underwater navigation, including generating smooth paths, avoiding obstacles, and adapting to complex conditions. This paper introduces a hybrid path-planning algorithm, D-RL*, that integrates the D* Lite algorithm for efficient initial pathfinding with Deep Reinforcement Learning methods to refine paths for smoother trajectories. The proposed approach addresses D* Lite's inability to produce continuous, smooth paths and baseline Reinforcement Learnings’ failures in environments requiring significant detours. Experimental results in four progressively complex environments highlight D-RL*’s ability to plan smoother paths than D* Lite while training in a shorter amount of time and generating shorter …

Recent Advances In Non-Enzymatic Electrochemical Sensors For Theophylline Detection, Gustria Ernis, Yulia M T A Putri, Muhammad Iqbal Syauqi, Prastika Krisma Jiwanti, Yeni Wahyuni Hartati, Takeshi Kondo, Qonita Kurnia Anjani, Jarnuzi Gunlazuardi

Journal of Electrochemistry

Detection of target analytes at low concentrations is significant in various fields, including pharmaceuticals, healthcare, and environmental protection. Theophylline (TP), a natural alkaloid used as a bronchodilator to treat respiratory disorders such as asthma, bronchitis, and emphysema, has a narrow therapeutic window with a safe plasma concentration ranging from 55.5–111.0 μmol·L^–1 in adults. Accurate monitoring of TP levels is essential because too low or too high can cause serious side effects. In this regard, non-enzymatic electrochemical sensors offer a practical solution with rapidity, portability, and high sensitivity. This article aims to provide a comprehensive review of the recent developments …