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Articles 3451 - 3480 of 27212
Full-Text Articles in Entire DC Network
October 24, 2024, The Dakota Student
Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – September 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis
Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – September 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Development Of Structures Of Intellectual Control Systems Of The Rectification Process, Shodievich Avazov Yusuf
Development Of Structures Of Intellectual Control Systems Of The Rectification Process, Shodievich Avazov Yusuf
Chemical Technology, Control and Management
Rectification processes, which are considered complex technological processes, and the development of structures of intelligent systems for controling the work of rectification devices and columns, which serve to organize them, were considered. The need to build intelligent control systems is based on the fact that the progress of the rectification process is affected by a large number of factors, including temperature, pressure, consumption, temperature difference, concentration of mixtures, properties of light and heavy volatile components. The structure of an intelligent control system based on the situational control method for rectification devices is proposed. The architecture of the proposed intelligent control …
Self-Calibration Of Smart Sensors Based On Fuzzy Logic, U.A. Ruziev, M.K. Shodiev
Self-Calibration Of Smart Sensors Based On Fuzzy Logic, U.A. Ruziev, M.K. Shodiev
Chemical Technology, Control and Management
The paper discusses and analyzes the application of fuzzy logic methods for self-calibration of measuring devices. In particular, the principles of constructing measurement devices based on fuzzy logic, based on linguistic variables and rules, are considered, which makes it possible to take into account various conditions and requirements of production processes. To illustrate the effectiveness of the proposed methods, the results of experiments on measuring and classifying process parameters using fuzzy logic algorithms are presented. The study also covered fuzzy rule methods for evaluating and processing measurement data based on expert knowledge and linguistic variables. Fuzzy rule-based systems are shown …
Methods For Applying And Optimizing Digital Control Systems In The Process Of Extracting Vegetable Oils, Mirhalil Agzamovich Ismailov, Matluba Abduhalimovna Isaqova
Methods For Applying And Optimizing Digital Control Systems In The Process Of Extracting Vegetable Oils, Mirhalil Agzamovich Ismailov, Matluba Abduhalimovna Isaqova
Chemical Technology, Control and Management
Nowadays, the advancement of science and technology has led to more complex production processes and management systems, requiring in-depth research into their structure and interconnections. A key method for such research is mathematical modeling, which has become more prevalent with the development of information technologies and simulation modeling. This study focuses on building a simulation model for oil production processes, particularly cottonseed oil extraction, addressing problem formulation, modeling stages, and the scientific and practical significance. The model plays a vital role in automating production, improving product quality, and increasing efficiency. The mathematical model of oil extraction helps optimize the process …
Troubleshooting And Diagnostics Of Electronic Computing Devices Using The Object Model Creation Method, Gulmira Shuxratovna Abidova, Asad Xolboy O’Gli Shosalmanov
Troubleshooting And Diagnostics Of Electronic Computing Devices Using The Object Model Creation Method, Gulmira Shuxratovna Abidova, Asad Xolboy O’Gli Shosalmanov
Chemical Technology, Control and Management
This paper presents a major challenge in fault diagnosis for electronic computing equipment is developing an object model tailored to support diagnostic tasks. Effective fault localization requires establishing a link between the diagnostic process and the object model. This connection should enable direct observation of diagnostic points and organize all potential defect and fault sources to clearly show their impact on each diagnostic point and the relevant parameters. Achieving this necessitates comprehensive information about parameter values, expected variations, and the permissible relationships between network elements that generate these parameters. Therefore, building a robust model is essential to facilitate accurate fault …
Intensification Of Convective Heat Transfer In Tubular-Grid Packings Of Rectification Columns, Ainagul Abdiualievna Nurillaeva, Elbek Tulkinovich Mavlonov, Khabibulla Sadullaevich Nurmukhamedov, Nazora Sharofovna Khudoiberdieva
Intensification Of Convective Heat Transfer In Tubular-Grid Packings Of Rectification Columns, Ainagul Abdiualievna Nurillaeva, Elbek Tulkinovich Mavlonov, Khabibulla Sadullaevich Nurmukhamedov, Nazora Sharofovna Khudoiberdieva
Chemical Technology, Control and Management
The paper presents the results of an experimental study on the intensification of convective heat exchange in tubular-lattice packings of rectification columns. Currently, in various sectors of the country's economy, either plate or packed rectification columns are mainly used, and combined devices are not used. Therefore, in this paper, studies were conducted on the intensification of the rectification process by using tubes with spiral turbulators with their staggered and corridor placement in the tube sheet. Analysis of the experimental data showed that the pitch of the turbulators s/deb significantly affects the heat exchange process. At the pitch of the spiral …
A Decentralized Digital Watermarking Framework For Secure And Auditable Video Data In Smart Vehicular Networks, Xinyun Liu, Ronghua Xu, Yu Chen
A Decentralized Digital Watermarking Framework For Secure And Auditable Video Data In Smart Vehicular Networks, Xinyun Liu, Ronghua Xu, Yu Chen
Michigan Tech Publications
Thanks to the rapid advancements in Connected and Automated Vehicles (CAVs) and vehicular communication technologies, the concept of the Internet of Vehicles (IoVs) combined with Artificial Intelligence (AI) and big data promotes the vision of an Intelligent Transportation System (ITS). An ITS is critical in enhancing road safety, traffic efficiency, and the overall driving experience by enabling a comprehensive data exchange platform. However, the open and dynamic nature of IoV networks brings significant performance and security challenges to IoV data acquisition, storage, and usage. To comprehensively tackle these challenges, this paper proposes a Decentralized Digital Watermarking framework for smart Vehicular …
Optimization-Based Motion Planning With Homotopy And Homology Class Constraints, Wenbo He
Optimization-Based Motion Planning With Homotopy And Homology Class Constraints, Wenbo He
McKelvey School of Engineering Graduate Student Theses & Dissertations
Motion Planning is a fundamental problem in robotics that aims to find an optimal trajectory for a system to move on while avoiding obstacles in the environment. Often, a feasible trajectory connecting the start and target point with the shortest length is highly desirable. Additionally, in scenarios such as drone racing or surveillance, topology constraints may arise. At the low level, the LQR or PID controller is utilized to steer the agent to move along the designed trajectory. At a high level, optimization-based, search-based, or sample-based algorithms are utilized to synthesize the feasible trajectory. In this thesis, we deal with …
Optimization-Based Motion Planning With Homotopy And Homology Class Constraints, Wenbo He
Optimization-Based Motion Planning With Homotopy And Homology Class Constraints, Wenbo He
McKelvey School of Engineering Graduate Student Theses & Dissertations
Motion Planning is a fundamental problem in robotics that aims to find an optimal trajectory for a system to move on while avoiding obstacles in the environment. Often, a feasible trajectory connecting the start and target point with the shortest length is highly desirable. Additionally, in scenarios such as drone racing or surveillance, topology constraints may arise. At the low level, the LQR or PID controller is utilized to steer the agent to move along the designed trajectory. At a high level, optimization-based, search-based, or sample-based algorithms are utilized to synthesize the feasible trajectory. In this thesis, we deal with …
Flow Distribution In Magnetic Circuits Of Measuring Transducers With Distributed Parameters And A Concentrated Longitudinal Excitation Winding, Kamila Jurayeva, Javharbek Fayzullayev, Usmon Mukhtorov
Flow Distribution In Magnetic Circuits Of Measuring Transducers With Distributed Parameters And A Concentrated Longitudinal Excitation Winding, Kamila Jurayeva, Javharbek Fayzullayev, Usmon Mukhtorov
Chemical Technology, Control and Management
The given paper presents the flow distribution in magnetic circuits of measuring transducers with distributed resistance parameters of long ferromagnetic rods and the magnetic capacitance between them and a concentrated excitation winding using the example of a magnetic circuit of a new magnetically elastic tensile force measuring transducer. It is shown that in such magnetic circuits, the magnetic voltage and magnetic flux into the section of the excitation winding installation have maximum values, gradually decreasing from this section toward the end parts of the magnetic circuit. Suppose the rate of change of the magnetic voltage along the coordinate is practically …
Development Of A Fuzzy Controller For Temperature Control In Phosphate Ore Beneficiation Process., D.P. Mukhitdinov, O.U. Sattarov, Sh.O. Annakulov
Development Of A Fuzzy Controller For Temperature Control In Phosphate Ore Beneficiation Process., D.P. Mukhitdinov, O.U. Sattarov, Sh.O. Annakulov
Chemical Technology, Control and Management
The paper presents the results of the obtained research, taking into account the dynamics of the thermal process in order to determine the parameters of the equipment and the choice of the optimal law of temperature regulation, the results of the process of temperature regulation in the process of roasting phosphate ores in the tower furnace are presented. The main purpose was to enhance the quality of phosphate ores and reduce energy consumption by using a fuzzy PID controller to regulate the temperature during the burning process of phosphate ores in a tower furnace. The parameters of the developed model …
Fuzzy Models And Optimization By Distillation Units In The Aspen Hysys Software Environment, Nodirbek Rustambekovich Yusupbekov, Farux Tulkunovich Adilov, Janibek Alibekovich Aytbaev
Fuzzy Models And Optimization By Distillation Units In The Aspen Hysys Software Environment, Nodirbek Rustambekovich Yusupbekov, Farux Tulkunovich Adilov, Janibek Alibekovich Aytbaev
Chemical Technology, Control and Management
Developed fuzzy models and optimization of a deethanizer distillation column in the Aspen HYSYS software environment. This article presents the results of studies related to fuzzy modeling of distillation columns using the example of a typical deethanizer. A fuzzy computer model and optimization based on mathematical process modeling have been developed, which describes in detail technological processes using differential equations of energy transfer, material balance, hydraulics, and physicochemical kinetics inside the distillation column.
Research On Data Collection And Transmission Technologies For Automatic Control Of High-Frequency Ozonators In Water Disinfection, P.I. Kalandarov, D.R. Ermanova, N.Zh. Duisenov, M.Zh. Koshkinbayeva, B.B. Shynzhigit, D.A. Abdullaeva, Kh.Kh. Abdullaev
Research On Data Collection And Transmission Technologies For Automatic Control Of High-Frequency Ozonators In Water Disinfection, P.I. Kalandarov, D.R. Ermanova, N.Zh. Duisenov, M.Zh. Koshkinbayeva, B.B. Shynzhigit, D.A. Abdullaeva, Kh.Kh. Abdullaev
Chemical Technology, Control and Management
This scientific work analyzes the research on data collection and transmission technologies for automatic control of high-frequency ozonators in water disinfection. The purpose of the study is to improve disinfection efficiency and optimize the system's operation by using IoT and artificial intelligence technologies in the control of ozonators. During the study, data collected by sensors were processed in real time through an IoT system and analyzed using artificial intelligence. Results showed that the efficiency of ozonator control increased by 25%, and ozone consumption was reduced by 20%. The use of a PID controller allowed for a 15% reduction in the …
Analysis Of Standardization Services In An Organization And Standards Development Process Model, F.F. Fattoev, Sh.A. Turaev, A.A. Abdurakhmanov
Analysis Of Standardization Services In An Organization And Standards Development Process Model, F.F. Fattoev, Sh.A. Turaev, A.A. Abdurakhmanov
Chemical Technology, Control and Management
This article explores the economic significance of standardization within the industrial sector, highlighting its role in enhancing competitiveness and innovation in the Republic of Uzbekistan. Standardization, implemented across various levels (state, industry, and organizational), provides a framework for ensuring quality, safety, and technical consistency across production processes, products, and infrastructure. The article examines how standardization services, even if not separate organizational units, contribute to public interest by fostering consistency and productivity through the interdisciplinary technical coordination (TSC) system. Additionally, the research considers mathematical methods for developing standards, offering insights into how structured standardization can support automation, increase labor productivity, and …
Development Of A Mathematical Model For An Intelligent Process Control System In Brewing Industry, A.N. Yusupbekov, M.Sh. Yusupov
Development Of A Mathematical Model For An Intelligent Process Control System In Brewing Industry, A.N. Yusupbekov, M.Sh. Yusupov
Chemical Technology, Control and Management
The paper deals with developing a mathematical model for a system of intelligent process control in brewing, focusing on the critical parameters of fermentation: temperature, pressure, and pH level. Mathematical models of the dynamics of the process of each of the parameters are given based on exponential dependencies, which allow for the description of the change of these values over time. The possibility of using PID regulators, neural networks, and fuzzy logic to control the process under study and the modeling that allows the optimization of beer production, improving its quality and reducing costs.
Investigation Of Magnetic Circuits Of Measuring Transducers With A Distributed Longitudinal Excitation Winding, Javharbek Fayzullayev, Kamika Jurayeva, Usmon Mukhtorov
Investigation Of Magnetic Circuits Of Measuring Transducers With A Distributed Longitudinal Excitation Winding, Javharbek Fayzullayev, Kamika Jurayeva, Usmon Mukhtorov
Chemical Technology, Control and Management
The article examines the laws of distribution of magnetic voltage and magnetic flux in magnetic circuits of measuring transducers with distributed resistance parameters of long ferromagnetic rods and magnetic capacitance between them and a transverse distributed excitation winding using the example of a magnetic circuit of a new magnetically elastic force converter. It is established that in such magnetic circuits, the magnetic voltage changes its sign when passing through the section of the magnetic neutral, and the magnetic flux in the magnetic neutral has a maximum value, with a fixed value of the length of the distributed excitation winding, the …
Generalized Structural-Parametric Conceptual Model Of The Electromagnetic Mechatronic Module, N.R. Matyokubov, T.O. Rakhimov
Generalized Structural-Parametric Conceptual Model Of The Electromagnetic Mechatronic Module, N.R. Matyokubov, T.O. Rakhimov
Chemical Technology, Control and Management
This article is dedicated to developing a generalized structural-parametric conceptual model of the electromagnetic mechatronic module. The design of a mechatronic module based on an electromagnetic linear motor, which performs reciprocating movements in space along different coordinates simultaneously, is presented. This module is used to enhance the functional capabilities of mechatronic systems and robotic complexes employed in modern automotive, textile, mining, metallurgy, and energy industries. It also serves to improve technical characteristics such as operational accuracy and speed. Based on this design, a computational scheme has been constructed using a van-equivalent T-shaped four-pole circuit model of the mechatronic module. It …
Selecting The First Approach Speed Of The Igm-2k Measuring Head When Controlling The Installation Error Of Housing Parts On Tncd Machines, A.M. Abduvaliev
Selecting The First Approach Speed Of The Igm-2k Measuring Head When Controlling The Installation Error Of Housing Parts On Tncd Machines, A.M. Abduvaliev
Chemical Technology, Control and Management
Theoretical analysis and experimental studies have been conducted on the automatic control process for installation errors of body parts using the IGM-2K measuring head on numerically controlled machines. The results of the experimental study are presented, detailing the actual values of control errors and the time costs associated with automatic approach methods using the IGM-2K for checking the base points of body part surfaces on these machines. An algorithm for selecting the first approach speed F1 for IGM-2K has been developed. In accordance with the developed algorithm, the optimal values F1 are determined for a different range of installation errors …
A New Method Of Determination Of Intercalibration Intervals Of Measuring Instruments Of Physico-Chemical Quantities Taking Into Account The Uncertainty Of Measurements, Sh.M. Masharipov, P.M. Matyaqubova
A New Method Of Determination Of Intercalibration Intervals Of Measuring Instruments Of Physico-Chemical Quantities Taking Into Account The Uncertainty Of Measurements, Sh.M. Masharipov, P.M. Matyaqubova
Chemical Technology, Control and Management
This paper presents a new method that can be applied in the field of metrology to determine and change the intercalibration periodicity during the operation of measuring instruments (certified standard chemical samples) used in the field of state metrological control and supervision. In modern metrology, the key issue is the determination and correction of intercalibration periodicity during the use of measuring instruments. The present paper presents a new method that can be applied in the sphere of state metrological control and supervision to improve the accuracy and reliability of measurements. The proposed method is intended only for exemplary measuring instruments …
Neural Network Models Of Adaptive Position-Trajectory Control Systems Of Moving Objects, Dildora Usmonovna Sevinova
Neural Network Models Of Adaptive Position-Trajectory Control Systems Of Moving Objects, Dildora Usmonovna Sevinova
Chemical Technology, Control and Management
This article is devoted to neural network models of adaptive position-trajectory control systems of moving objects. Neural network models of adaptive positional-trajectory control systems of moving objects have been developed on the basis of proportional-differential adjusters, which allow for quick calculation and determination of nonlinear characteristics of the system. Also, the kinematic scheme of the multi-link industrial robot is presented for describing the motion of the multi-link industrial robot according to the specified traction and positions, and for representing the input forces and training in the neural network. Mathematical models for calculating the linear and rotational movements of the manipulator …
System Of Monitoring And Control Of Thermal Regime In Gas-Fired Furnaces, U.U. Kholmanov
System Of Monitoring And Control Of Thermal Regime In Gas-Fired Furnaces, U.U. Kholmanov
Chemical Technology, Control and Management
The system of monitoring and control of thermal regime in gas furnaces is considered, the description of which includes temperature sensors, control systems and optimization algorithms. Attention is paid to monitoring, which allows to ensure stability and efficiency of furnace operation. The existing approaches to thermal regime control are analyzed. Examples of implementation of these systems are given, as well as the prospects for their development with regard to modern trends in automation and digitalization.
Diagnosis Of Malfunctions In Servo Systems Considering Dynamic, Khurshid Salim Ugli Turaev
Diagnosis Of Malfunctions In Servo Systems Considering Dynamic, Khurshid Salim Ugli Turaev
Chemical Technology, Control and Management
This study analyzes methods of fault-tolerant control and automatic fault diagnosis in servo systems considering dynamic redundancy. The application of diagnostic and fault-tolerant control methods is critical for addressing reliability and safety challenges in servo systems. Dynamic redundancy ensures the ability to respond quickly to faults in individual system components and minimizes their impact on overall system performance. The research examines approaches to fault detection, ensuring continuous operation of automated systems, and methods for their effective resolution. The practical significance of the study lies in the use of modern technologies to enhance the performance and fault tolerance of servo systems.
Method Of Selecting Elements And Designing Intelligent Optoelectronic Converters, Yuriy Gennadiyevich Shipulin, Zebiniso Akmalovna Zayniddinova, Rustam Mukhamadjonovich Rakhimov
Method Of Selecting Elements And Designing Intelligent Optoelectronic Converters, Yuriy Gennadiyevich Shipulin, Zebiniso Akmalovna Zayniddinova, Rustam Mukhamadjonovich Rakhimov
Chemical Technology, Control and Management
The article is devoted to the method of selecting elements and designing intelligent optoelectronic displacement transducers. It is proposed that morphological tables be used to expand the principles of building intelligent multifunctional optoelectronic converters. Choosing the optimal structure of intelligent multifunctional optoelectronic converters allows you to use a combination of advanced techniques to improve the design and use the morphological matrix of the main elements to choose a new structure of elements and designs of intelligent multifunctional optoelectronic converters.
The Problem Of Optimal Control Of Gas-Fired Furnace Operation, Azamat Toirovich Rajabov
The Problem Of Optimal Control Of Gas-Fired Furnace Operation, Azamat Toirovich Rajabov
Chemical Technology, Control and Management
The formulation of the problem of optimal control of gas-burning furnace operation in the glass industry is carried out. The main stages of solving this problem, starting from mathematical modeling of the investigated process and ending with the task of optimizing the furnace thermal regime, are considered. The model describes the evolution of temperature fields of fuel combustion, combustion rate, gas movement and emission concentration changes depending on control actions. Model-based control predicts the behavior of the system for the prediction horizon and selects optimal control actions on the object.
Methods Of Synthesis Of Regulators For Nonlinear Dynamic Systems, O.O. Zaripov, D.A. Akhmedov
Methods Of Synthesis Of Regulators For Nonlinear Dynamic Systems, O.O. Zaripov, D.A. Akhmedov
Chemical Technology, Control and Management
Methods and algorithms for the synthesis of regulators for nonlinear dynamic systems are given, based on various approaches to the formation of a control device. We considered synthesis methods based on phase space, Lyapunov function method, vibration control, feedback linearization method, velocity gradient method, lag feedback method, adaptive, robust, intelligent approaches, fuzzy logic, systems with a variable structure, etc. All the methods of synthesis of nonlinear regulators discussed above give a solution to the problem only for rather narrow classes of objects. Therefore, the problem of building regulators for nonlinear systems in many cases has not yet been solved.
Implementation Of The Method Of Fuzzy Control Of The Rectification Process Based On Fuzzy Logic, Yusuf Shodievich Avazov, Kamola Rustamovna Abdullaeva
Implementation Of The Method Of Fuzzy Control Of The Rectification Process Based On Fuzzy Logic, Yusuf Shodievich Avazov, Kamola Rustamovna Abdullaeva
Chemical Technology, Control and Management
The method of controlling the rectification process using fuzzy control based on fuzzy logic is studied. The structural scheme of the rectification process control system based on fuzzy logic is proposed. The analysis of the operation of the fuzzy rectifier is also carried out by comparing the human with the elements of fuzzy thinking. It is shown that the logical thinking of the human is similar to the functions performed by the fuzzy rectifier and the work of the components of the intellectual control system. The terms of linguistic variables are presented to reflect the rectification process of multi-component mixtures. …
Carbon Restoration Potential On Global Land Under Water Resource Constraints, Shouzhang Peng, César Terrer, Benjamin Smith, Philippe Ciais, Qinggong Han, Jialan Nan, Joshua B. Fisher, Liang Chen, Lei Deng, Kailiang Yu
Carbon Restoration Potential On Global Land Under Water Resource Constraints, Shouzhang Peng, César Terrer, Benjamin Smith, Philippe Ciais, Qinggong Han, Jialan Nan, Joshua B. Fisher, Liang Chen, Lei Deng, Kailiang Yu
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Ecosystem restoration is a critical nature-based solution to mitigate climate change. However, the carbon sequestration potential of restoration, defined as the maximum achievable carbon storage, has likely been overestimated because previous studies have not adequately accounted for the competition between ecosystem water demands for maximizing carbon sequestration and human water needs. Here we used a comprehensive process-based model combined with extensive land-use data and evaporation recycling accounting for land–atmosphere feedback to estimate the water requirements associated with ecosystem restoration. We found that achieving the carbon sequestration potential of restoration would significantly reduce global water availability per capita by 26%, posing …
Early Detection And Categorization Of Cervical Cancer Cells Using Smoothing Cross Entropy-Based Multi-Deep Transfer Learning, Rania Ahmed, Nadia Dahmani, Ghada Dahy, Ashraf Darwish, Aboul Ella Hassanien
Early Detection And Categorization Of Cervical Cancer Cells Using Smoothing Cross Entropy-Based Multi-Deep Transfer Learning, Rania Ahmed, Nadia Dahmani, Ghada Dahy, Ashraf Darwish, Aboul Ella Hassanien
All Works
Cervical cancer is one of the leading causes of death in women worldwide. Prompt and accurate diagnosis is imperative for the treatment of cervical cancer through the utilization of pap smear slides, albeit it is a multifaceted and time-intensive process. An automatic diagnosis model based on deep learning models, particularly a convolutional neural network (CNN), can enhance cervical cancer's accuracy and rapid identification. This paper proposes a cross entropy-based multi-deep transfer learning model for the early detection and categorization of cervical cancer cells. The proposed model consists of four phases: the pre-processing phase, the feature extraction and fusion phase, the …
What Do We Know About Hugging Face? A Systematic Literature Review And Quantitative Validation Of Qualitative Claims, Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
What Do We Know About Hugging Face? A Systematic Literature Review And Quantitative Validation Of Qualitative Claims, Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
Computer Science: Faculty Publications and Other Works
Background: Collaborative Software Package Registries (SPRs) are an integral part of the software supply chain. Much engineering work synthesizes SPR package into applications. Prior research has examined SPRs for traditional software, such as NPM (JavaScript) and PyPI (Python). Pre-Trained Model (PTM) Registries are an emerging class of SPR of increasing importance, because they support the deep learning supply chain.
Aims: Recent empirical research has examined PTM registries in ways such as vulnerabilities, reuse processes, and evolution. However, no existing research synthesizes them to provide a systematic understanding of the current knowledge. Some of the existing research includes qualitative …