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Articles 2251 - 2280 of 53022
Full-Text Articles in Entire DC Network
Experimental And Numerical Analysis Of Fluidization Of Pelletized Activated Carbon Columns: Effects Of Glass Bead Retention Layer, Amin Nemati Tamar
Experimental And Numerical Analysis Of Fluidization Of Pelletized Activated Carbon Columns: Effects Of Glass Bead Retention Layer, Amin Nemati Tamar
Theses and Dissertations
In pressure swing adsorption (PSA) processes there is always a desire to process as much gas as possible in the smallest beds possible. This necessarily leads to velocities that, especially during pressure-changing steps, may exceed the adsorbent particle fluidization velocity within the bed. To prevent the possibility of bed expansion and fluidization bed retention systems are usually employed at the top of the bed in the form of dense beads, bags of the same or springs, otherwise the mechanical integrity of the adsorbent might become compromised. PSA process simulation, based on Archimedes’ force balance involving weight, buoyancy and the drag …
On The Provenance Of Software Systems: Automating Software Traceability With Knowledge Graph And Large Language Model Synergy, Tyler Procko
On The Provenance Of Software Systems: Automating Software Traceability With Knowledge Graph And Large Language Model Synergy, Tyler Procko
Doctoral Dissertations and Master's Theses
The present dissertation delineates a system that enables those engaged in software development to automatically generate and maintain project life cycle provenance. All projects are implemented and made manifest with the development of artifacts, e.g., papers, code files, etc. Tools exist to accelerate artifact creation, but little focus is paid to the processes that produce them. In terms of Ontology, or, from Ancient Greek, the study of being, the two most basic entities in reality are Continuant and Occurrent, or, roughly, “Artifact” and “Process”. This dissertation posits that for any created artifact, its process of creation, i.e., its life …
Assessing The Feasibility Of Transportable Nuclear Reactors: A Radiological Risk Case Study, Robert John Demuth
Assessing The Feasibility Of Transportable Nuclear Reactors: A Radiological Risk Case Study, Robert John Demuth
Theses and Dissertations
The feasibility of a truly transportable nuclear reactor presents significant radiological challenges that must be addressed to ensure compliance with regulatory limits and operational safety. This study evaluates the radiological constraints associated with the transportability of the Transportable Helium-cooled One-megawatt Reactor (THOR), focusing on neutron activation, shielding performance, and external radiation exposure. Using advanced radiation transport and activation modeling within the SCALE framework, a comprehensive analysis was conducted to quantify dose rates during operation, post-shutdown, and transport. A key aspect of this work involved assessing activation products in core materials, auxiliary components, and surrounding environments to determine their contribution to …
Understanding Water Washing Needs Of Hydrochar Generated From The Hydrothermal Carbonization Of Food Wastes To Establish Minimum Post-Processing Needs For Soil Amendment Application, Neve Renee Steger
Theses and Dissertations
Hydrothermal carbonization (HTC) is an advantageous and potentially environmentally beneficial approach for the conversion of wet biomass and waste streams into a value-added solid product referred to as hydrochar. Although hydrochar composition and properties generated from the carbonization of a variety of feedstocks have been well studied, there is a need for understanding whether hydrochar requires further refinement and/or treatment prior to being used in environmental applications, particularly when using the hydrochar as a soil amendment. Understanding the need for and extent of hydrochar post-treatment is critical in identifying environmentally beneficial and economically attractive strategies for hydrochar use. In this …
Automated Fiber Placement Laminate Level Optimization: A Physics-Inspired Method To Analyze Through-Thickness Defect Interactions, Nishan Patel
Theses and Dissertations
With the growing adoption of composite materials in industries such as aerospace, automotive, naval, wind energy, and even sectors like sports and consumer goods, there has been a strong push towards improving manufacturing reliability and productivity. One key method that has gained significant traction is Automated Fiber Placement (AFP), an additive manufacturing technique valued for its precision, efficiency, and adaptability in producing complex composite parts. As industries continue to shift from traditional metal-based structures to more advanced composite materials, the need for efficient and high- quality manufacturing solutions has become even more critical, prompting a focus on automation and optimization …
Multiscale Modeling Techniques For Electrodynamic Systems, Hunter Teel
Multiscale Modeling Techniques For Electrodynamic Systems, Hunter Teel
Theses and Dissertations
In order to rapidly develop better electromagnetic and electrochemical systems, approaching these complicated topics from multiple perspectives is necessary. The use of mathematical models and numerical simulation offers the ability to evaluate and predict the performance of these systems based off the principles of electrodynamics in an ideal setting. Through the use of Computational Fluid Dynamics (CFD), representative geometries of scales can be created and evaluated to provide insight into the behavior of these systems. Simulation offers a modifiable environment that can approach the relevant physics from both the microscale and macroscale. Conclusions, results, boundary conditions, or other information from …
A Novel Geometric Modeling Kernel For Automated Fiber Placement, Rowen Burney
A Novel Geometric Modeling Kernel For Automated Fiber Placement, Rowen Burney
Theses and Dissertations
Automated Fiber Placement (AFP) is a key manufacturing technique for producing high-performance composite structures, yet existing geometric modeling frameworks lack the specialized functionality required for efficient toolpath planning and laminate optimization. This work presents Knots, a Geometric Modeling Kernel (GMK) developed specifically to address these limitations by providing a unified geometric foundation tailored for AFP. Unlike general-purpose Computer Aided Design (CAD) libraries, Knots is optimized for AFP, offering specialized geometric operations that streamline the transition from design to manufacturing. It directly manages the loading and computation of geometric data, ensuring structured laminate generation while supporting automation and scripting for improved …
Frequency-Based Rapid Structural Damage Detection Using Embedded Edge Computing On Resource-Constrained Devices, Ryan Yount
Theses and Dissertations
Structural Health Monitoring (SHM) is essential for ensuring reliability and longevity of useful structures. Traditional SHM approaches rely on manual or remote data transmission and external processing, which introduce latency and can depend on stable communication links. This work aims to advance SHM by integrating edge-computing techniques for rapid damage detection to enable faster and more autonomous structural assessments in resource-constrained environments. The research spans three key contributions including 1) frequency-based damage detection of civil structures using a sensor package with the addition of an edge processor, 2) additions to the computational efficiency of the edge-computing sensor package in a …
Underlying Mechanisms Of The Effect Of Microfines Of Manufactured Sand On Non-Linear Structural Build-Up Of Cement Paste, Jiang Zhu, Jiaping Liu, Kamal H. Khayat, Xin Cheng, Wei Zhao, Zhen Li, Xin Shu, Yongbo Huang
Underlying Mechanisms Of The Effect Of Microfines Of Manufactured Sand On Non-Linear Structural Build-Up Of Cement Paste, Jiang Zhu, Jiaping Liu, Kamal H. Khayat, Xin Cheng, Wei Zhao, Zhen Li, Xin Shu, Yongbo Huang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The rheological properties of cement-based materials made with manufactured sand vary with the content and physio-chemical properties of microfines in the sand. However, the evaluation of rheological properties regarding the structural build-up at early-age hydration remains challenging for the cementitious materials prepared with different manufactured sands, due to complicated underlying structuration mechanisms. This paper studies the effect of disparate microfines of different manufactured sands on the non-linear growth of static yield stress of cement pastes at rest. The paste mixtures were prepared with 0.40 and 0.275 water-to-cement mass ratio (W/C) and had a fixed mini-slump flow of 240 ± 5 …
Quality Assurance Framework For Recovered Binders And Aggregates From Asphalt Mixtures Incorporating Recycled Materials, Eslam Deef-Allah, Magdy Abdelrahman
Quality Assurance Framework For Recovered Binders And Aggregates From Asphalt Mixtures Incorporating Recycled Materials, Eslam Deef-Allah, Magdy Abdelrahman
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study proposes that a proactive quality assurance (QA) framework for asphalt mixes with recycled materials, i.e., reclaimed asphalt pavement and recycled asphalt shingles, should be developed. Quality control (QC) is generally concerned with the contractor's obligation to produce mixes which meet the job mix formula (JMF) targets. However, QA considers the variability in fabrication processes and materials and offers monitoring by evaluating the contractor's performance. Although both aggregate gradations and asphalt contents were within the JMF specifications, the recovered binders revealed significant differences from the contract binders in the JMF. Rheological tests indicated increased stiffness and elasticity but reduced …
Co2 Utilization For Cementitious Materials - A Review, Seongho Han, Jae Hong Kim, Rohitashva Kumar Singh, Surendra P. Shah
Co2 Utilization For Cementitious Materials - A Review, Seongho Han, Jae Hong Kim, Rohitashva Kumar Singh, Surendra P. Shah
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This review examines methods for utilizing CO2 in construction materials to reduce the carbon footprint of cement and concrete production. Key approaches include direct carbonation of calcium silicates through CO2 curing, use of industrial by-products as supplementary cementitious materials activated by carbonation, production of alternative binders and aggregates via CO2 treatment of waste materials, injection of CO2 into fresh concrete mixtures, and use of CO2-dissolved mixing water. Both academic research and emerging commercial technologies are covered. While these methods show promise for enhancing material properties and sequestering CO2, challenges remain in optimizing …
Approximations And Bounds For Optimal Controls Via Finite Fourier Series, Gabriel Nicolosi, Terry Friesz, Christopher Griffin
Approximations And Bounds For Optimal Controls Via Finite Fourier Series, Gabriel Nicolosi, Terry Friesz, Christopher Griffin
Engineering Management and Systems Engineering Faculty Research & Creative Works
This work considers the problem of approximating initial condition and time-dependent optimal control and trajectory surfaces using multivariable finite Fourier series. A modified Augmented Lagrangian algorithm for translating the optimal control problem into an unconstrained optimization one is proposed. A quadratic control problem in the context of Newtonian mechanics is solved to demonstrate the proposed algorithm and various computational results are presented. Use of automatic differentiation is explored to circumvent the elaborated gradient computation in the first-order optimization procedure. Furthermore, mean square error bounds are derived for the case of one and two-dimensional Fourier series approximations, suggesting a general bound …
Analytical Dispatch Strategies For Pumped Storage Hydro: A Conditional Dynamic Programming Approach To Discontinuous Multi-Period Optimization Problems, Jian Liu, Jianwen Zhang, Zaiwu Gong, Donald C. Wunsch, Rui Bo
Analytical Dispatch Strategies For Pumped Storage Hydro: A Conditional Dynamic Programming Approach To Discontinuous Multi-Period Optimization Problems, Jian Liu, Jianwen Zhang, Zaiwu Gong, Donald C. Wunsch, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
The increasing integration of renewable energy sources like wind and solar poses significant challenges to secure and stable grid operation. Energy storage systems, particularly pumped storage hydro (PSH), play a crucial role in balancing power supply and demand. Traditional analytical studies of PSH economic dispatch problems often assume zero lower bounds for generating and pumping rates to simplify analysis and derive analytical solutions for multi-period optimization problems. However, the inherent mechanical design constraints of PSH require non-zero minimum flow rates for efficient operation. We analyze two scenarios, merchants having PSH only and merchants having both PSH and wind farms. In …
Transforming Optical Vernier Effect Into Coherent Microwave Interference Towards Highly Sensitive Optical Fiber Sensing, Ruimin Jie, Jie Huang, Chen Zhu
Transforming Optical Vernier Effect Into Coherent Microwave Interference Towards Highly Sensitive Optical Fiber Sensing, Ruimin Jie, Jie Huang, Chen Zhu
Electrical and Computer Engineering Faculty Research & Creative Works
The optical Vernier effect has garnered significant research attention and found widespread applications in enhancing the measurement sensitivity of optical fiber interferometric sensors. Typically, Vernier sensor interrogation involves measuring its optical spectrum across a wide wavelength range using a high-precision spectrometer. This process is further complicated by the intricate signal processing required for accurately extracting the Vernier envelope, which can inadvertently introduce errors that compromise sensing performance. In this work, we introduce a novel approach to interrogating Vernier sensors based on a coherent microwave interference-assisted measurement technique. Instead of measuring the optical spectrum, we acquire the frequency response of the …
Multiphase Iterative Algorithm For Mixed-Integer Optimal Control, Chaoying Pei, Sixiong You, Yu Di, Ran Dai
Multiphase Iterative Algorithm For Mixed-Integer Optimal Control, Chaoying Pei, Sixiong You, Yu Di, Ran Dai
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Mixed-integer optimal control problems (MIOCPs) frequently arise in the domain of optimal control problems (OCPs) when decisions including integer variables are involved. However, existing state-of-the-art approaches for solving MIOCPs are often plagued by drawbacks such as high computational costs, low precision, and compromised optimality. In this study, we propose a novel multiphase scheme coupled with an iterative second-order cone programming (SOCP) algorithm to efficiently and effectively address these challenges in MIOCPs. In the first phase, we relax the discrete decision constraints and account for the terminal state constraints and certain path constraints by introducing them as penalty terms in the …
Learning-Guided Bi-Objective Evolutionary Optimization For Green Municipal Waste Collection Vehicle Routing, Shubing Liao, Yixin Xu, Yunyun Niu, Zhiguang Cao
Learning-Guided Bi-Objective Evolutionary Optimization For Green Municipal Waste Collection Vehicle Routing, Shubing Liao, Yixin Xu, Yunyun Niu, Zhiguang Cao
Research Collection School Of Computing and Information Systems
Waste management has emerged as a critical issue in modern society, where vehicles are scheduled to visit multiple locations for waste collection and transport. This study focuses on a key problem in waste management: route optimization of waste collection vehicles, and formulate it as a bi-objective vehicle routing problem with stochastic demand (VRPSD), aiming to minimizing both total costs and carbon emissions. Although previous studies have significantly advanced our understanding of solving similar problems, the lack of real-world data and limited problem-solving capabilities still restrict the practical applicability of existing methods. To bridge this research gap, this study designed a …
From A Learning To A Smart Nation: The Rise Of The Digitalization Megatrend And Singapore's Development, Siu Loon Hoe
From A Learning To A Smart Nation: The Rise Of The Digitalization Megatrend And Singapore's Development, Siu Loon Hoe
Research Collection School Of Computing and Information Systems
Purpose: The purpose of this article is to discuss the “learning nation” concept and examine the characteristics and implications of using the “learning” premodifier in this nation-building program. Design/methodology/approach: This article reviews how the “learning” aspect is inter-related to a series of national information and communication technology masterplans and includes a comparative analysis of the related premodifier “smart” as Singapore sets forth its ambition to become a “smart nation” as part of the digitalization megatrend. A print media indicator and Google Trends form part of the methodology to ascertain the rise of digital technology over a certain period. The former …
Llm-Enhanced Multiple Instance Learning For Joint Rumor And Stance Detection With Social Context Information, Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin
Llm-Enhanced Multiple Instance Learning For Joint Rumor And Stance Detection With Social Context Information, Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin
Research Collection School Of Computing and Information Systems
The proliferation of misinformation, such as rumors on social media, has drawn significant attention, prompting various expressions of stance among users. Although rumor detection and stance detection are distinct tasks, they can complement each other. Rumors can be identified by cross-referencing stances in related posts, and stances are influenced by the nature of the rumor. However, existing stance detection methods often require post-level stance annotations, which are costly to obtain. We propose a novel LLM-enhanced Multiple Instance Learning (MIL) approach to jointly predict post stance and claim class labels, supervised solely by claim labels, using an undirected microblog propagation model. …
Josephson Junctions: Fabrication And Applications For The Axion Dark Matter Experiment, Jonah M. Sachs
Josephson Junctions: Fabrication And Applications For The Axion Dark Matter Experiment, Jonah M. Sachs
Senior Honors Papers / Undergraduate Theses
The observation of axions could revolutionize the world of physics. Through microwave frequency cavity readout of the photons associated with these axions, the ADMX project at WashU utilizes multiple different forms of the Josephson junction (JJ), a superconductive circuit element. The physics behind the JJ are essential to understanding its operation for resonant cavity readout in addition to parametric amplification. Parametric amplifiers produced using JJs can approach the signal-to-noise ratio set by quantum mechanics, and prove essential for the amplification chain used by the ADMX experiment for axionic detection. The limits of these amplifiers are set by the noise tuning …
The Interplay Between Endothelial Glycocalyx Maturity And Both The Toxicity And Intracellular Uptake Of Charged Nanoparticles, Claire A. Bridges, Lu Fu, Jonathan Yeow, Xiaojing Huang, Miriam Jackson, Rhiannon P. Kuchel, James D. Sterling, Shenda M. Baker, Megan S. Lord
The Interplay Between Endothelial Glycocalyx Maturity And Both The Toxicity And Intracellular Uptake Of Charged Nanoparticles, Claire A. Bridges, Lu Fu, Jonathan Yeow, Xiaojing Huang, Miriam Jackson, Rhiannon P. Kuchel, James D. Sterling, Shenda M. Baker, Megan S. Lord
Business and Information Technology Faculty Research & Creative Works
Nanoparticles are widely studied for delivering treatments to target tissues, but few have reached clinical use. Most nanoparticles encounter blood vessels on their way to target tissues. The inner surface of these vessels is lined with endothelial cells covered by a glycocalyx, an extracellular matrix rich in anionic glycans. The role of the glycocalyx in nanoparticle interactions is not well understood. Here, we demonstrate that endothelial cells need extended culture times to synthesize a mature glycocalyx. Our research shows that branched polyethyleneimine functionalized gold nanoparticles bind to endothelial cells expressing either a developing or mature glycocalyx, with the interaction involving …
From Flames To Change: An Exploration Of Housing, Fire, And Inequity, Helen Underhill, Charles R. Jennings, Brian Meacham, Danielle Antonellis
From Flames To Change: An Exploration Of Housing, Fire, And Inequity, Helen Underhill, Charles R. Jennings, Brian Meacham, Danielle Antonellis
Publications and Research
Housing and fire safety are deeply connected: inadequate and poorly maintained housing poses heightened fire risk for occupants. An individual or household’s housing situation (including limited or constrained choice) interacts with issues such as affordability, access, location, quality, safety, occupancy levels, tenure type, and resident or immigration status. These dynamics shape vulnerability, and inequity becomes most visible in the event of a fire. The extreme end of this spectrum includes the unhoused, who occupy structures entirely outside of regulatory systems with little or no fire protection.
Turbulence Numerical Simulation Of Flow Characteristics Of Laval Nozzle Top Blow Jet, Ai Liang Chen, Yao Liu, Zi Biao Wang, Huan Wu Zhan, Xue Xian Jiang, Feng Long Sun, Jiann Yang Hwang, Xi Jun Zhang
Turbulence Numerical Simulation Of Flow Characteristics Of Laval Nozzle Top Blow Jet, Ai Liang Chen, Yao Liu, Zi Biao Wang, Huan Wu Zhan, Xue Xian Jiang, Feng Long Sun, Jiann Yang Hwang, Xi Jun Zhang
Michigan Tech Publications
The turbulent characteristics of the top-blown Laval nozzle and the influence of pressure and Mach number were studied through numerical simulation. With 2.72% error between the results and the empirical formula, the results are reliable. Nozzle fluid is influenced by pipe structure, causing pressure and density to drop as speed increases. Differences in pressure and velocity between the jet and surrounding gas lead to jet velocity attenuation, flow expansion, deflection, and eddy currents. The optimal top blowing pressure is 0.6 MPa, and the center velocity and width of the jet are 345 m/s and 0.124 m, respectively, at 20De (De …
Painting Rich Six-Dimensional Pictures Using Polarized Fluorescence Microscopy, Matthew D. Lew
Painting Rich Six-Dimensional Pictures Using Polarized Fluorescence Microscopy, Matthew D. Lew
Electrical & Systems Engineering Publications and Presentations
No abstract provided.
Reweighting Configurations Generated By Transferable, Machine Learned Models For Protein Sidechain Backmapping, Jacob Monroe
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 …
Evaluating And Improving U.S. National Water Model Evapotranspiration Estimates Through Eddy-Covariance Flux Tower Observations And Machine Learning Post-Processing, Abin Raj Chapagain
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 …
Effective Cleaning Of Cotton In A Saw Gin, Rustam Shennikovich Sulaymonov, Amirqulovich Begzod Irgashev, Zarshid Omonov Jumanazar O'G'Li
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 …
Design Features Of Ion Exchange Plant For Wastewater Treatment, Tatyana Vladimirovna Drabkova, Sadritdin Makhamatdinovich Turabdzhanov, Fayzulla Nigmatullaevich Rakhmatullaev, Ulughukha Nusratullaevich Rakhmatov, Aziza Alimdzhanovna Shokhakimova
Design Features Of Ion Exchange Plant For Wastewater Treatment, Tatyana Vladimirovna Drabkova, Sadritdin Makhamatdinovich Turabdzhanov, Fayzulla Nigmatullaevich Rakhmatullaev, Ulughukha Nusratullaevich Rakhmatov, Aziza Alimdzhanovna Shokhakimova
Technical science and innovation
This study presents an ion exchange unit designed for selective and comprehensive wastewater treatment. The unit includes all technological processes: solution filtration, ion exchanger loosening, sorbent regeneration and washing, which is a significant advantage of the proposed technology and eliminates the need for additional devices. This significantly increases the overall efficiency of the cleaning process, reducing costs and simplifying the operation of the system. Experimental studies have confirmed the high efficiency and feasibility of using ion exchange units in modern operating conditions, which makes them universal in application for various industries, including metallurgy and chemistry. The main idea of the …
Some Results Of Studying The Connection Between Geodynamic Processes And Observed Anomalous Electromagnetic Phenomena, Botir Khamidovich Khaydarov, Umar Abdullaevich Najmiddinov
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 …
Sorption-Spectroscopic Method For Determining Mn Ions In Wastewater, Zulayho Asanalievna Smanova, Zukhra Ziyatovna Yakshieva, Nazira Kuchkarbayevna Madusmanova, Gulyorkhon Otkir Qizi Miradkhamova
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 …
Adaptive Control System Of Nonlinear Dynamic Object On The Basis Of Neuro-Fuzzy Networks, Isomiddin Xakimovich Siddikov, Dilnoza Maxamadjanovna Umurzakova
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 …