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Operations Research, Systems Engineering and Industrial Engineering Commons

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2024

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Articles 241 - 270 of 664

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Real-Time Non-Photorealistic Rendering Method For Black And White Comic Style In Games And Animation, Yan Hu, Lizhe Chen, Hanna Xie, Yuyao Ge, Shun Zhou, Xingquan Cai Jul 2024

Real-Time Non-Photorealistic Rendering Method For Black And White Comic Style In Games And Animation, Yan Hu, Lizhe Chen, Hanna Xie, Yuyao Ge, Shun Zhou, Xingquan Cai

Journal of System Simulation

Abstract: To address the issues of high resource consumption and lengthy workflow in general nonphotorealistic, this paper proposes a real-time non-photorealistic rendering method for black and white comic style in games and animation. A specialized lighting model is designed to highlight the main environmental light and the grayscale grading of diffuse reflection based on the analysis of the lighting model effect. The pre-processing of the scene is achieved by merging the various components of the lighting model. A screen space three-phase edge detection method is proposed to sequentially perform depth edge detection, normal edge detection, and color edge detection on …


Simulation System For Carrier-Based Aircraft Ammunition Support Scheduling, Zhe Liu, Jiafeng Chen, Junfei Ma, Songhua Ma Jul 2024

Simulation System For Carrier-Based Aircraft Ammunition Support Scheduling, Zhe Liu, Jiafeng Chen, Junfei Ma, Songhua Ma

Journal of System Simulation

Abstract: For inefficient scheduling of carrier-based aircraft ammunition support on the flight deck of aircraft carriers, a Unity3D-based 3D virtual demonstration method for carrier-based aircraft ammunition scheduling is proposed, and a 3D virtual simulation system for carrier-based aircraft ammunition scheduling on the flight deck of aircraft carriers is constructed. A problem model targeted at carrierbased aircraft ammunition transportation and loading scheduling process as well as processing rules for path determination, sequence constraint, and loading position compensation are established based on the defining system. An optimal solution for the scheduling process is realized by using the improved discrete grey wolf optimizer …


Blast Wave Simulator For Laminated Glass Panels Experimental Evaluation, Mahmoud T. Nawar, Ayman El-Zohairy, Alaa El-Sisi, Hani Salim Jul 2024

Blast Wave Simulator For Laminated Glass Panels Experimental Evaluation, Mahmoud T. Nawar, Ayman El-Zohairy, Alaa El-Sisi, Hani Salim

Faculty Publications

The study of blast loads on structures is important due to the potential of significant consequences in various scenarios. From terrorist attacks to industrial accidents, comprehending how structures respond to blast waves is critical for ensuring public safety and designing resilient structures. Studying these effects typically involves two main methods: free-field tests with live explosives and shock tube tests. Although shock tube testing offers certain advantages, both approaches are costly and demand significant space. This research aims to develop a cost-effective and straightforward technique for generating stress waves that closely replicate the progressive and spatial characteristics of free-field or shock …


Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu Jul 2024

Uav Path Planning Based On Improved Harris Hawk Algorithm And B-Spline Curve, Zhifeng Huang, Yuanhua Liu

Journal of System Simulation

Abstract: Aiming at the global path planning problem of unmanned aerial vehicles (UAVs) in dynamic environments, this paper proposes an improved Harris Hawk optimization algorithm. To address the problem of insufficient search performance in the later stage of the algorithm, an adaptive chaos and core population dynamic partitioning strategy is proposed to improve the searchability of the algorithm in the later stage. The Harris Hawk update formula is modified, and the golden sine strategy is introduced to improve the search efficiency of the algorithm. Then, an adaptive dynamic cloud optimal solution perturbation strategy is integrated to improve the ability of …


Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang Jul 2024

Optimal Scheduling Of Vehicle-Network Interaction Based On Interval Stackelberg Game Of Virtual Power Plant, Weiliang Liu, Qianwen Yan, Qiliang Zhang, Shuai Liu, Changliang Liu, Jiayao Kang, Xin Wang

Journal of System Simulation

Abstract: To better exploit the regulation potential of electric vehicles (EVs), resolve the conflicts of interest among the stakeholders in vehicle-to-grid (V2G) interactions, and overcome the uncertainty of distributed energy sources and load, this paper proposes a two-level optimization scheduling model for V2G interactions based on the interval Stackelberg game of a virtual power plant (VPP). The VPP aggregator is considered as the upper level, and the EV users as the lower level. The upper level model uses interval numbers to describe the uncertainty of sources and loads, with the aim of minimizing the operating cost of the VPP aggregator, …


Maglev Ball Control Algorithm Based On Levant Differentiator, Zhenli Zhang, Yongzhuan Wang, Yao Qin, Jie Yang Jul 2024

Maglev Ball Control Algorithm Based On Levant Differentiator, Zhenli Zhang, Yongzhuan Wang, Yao Qin, Jie Yang

Journal of System Simulation

Abstract: To solve the problem of unsatisfactory control effect of permanent magnet electromagnetic hybrid suspension system caused by signal mutation and noise interference, the control method ILevant- PID, the combination of an improved Levant differentiator and PID, is proposed. The proposed method combines the strong adaptability of PID control and the robust characteristic of Levant differentiator on input noise to solve the chattering problem of the system output. The simulated anneal-particle swarm optimization is utilized to solve the constraints of the ILevant-PID controller, such as multiple parameters and strong correlation. The simulation results show that compared with the traditional PID …


Real-Time Scheduling Method For Dynamic Flexible Job Shop Scheduling, Quan Jiang, Jingxuan Wei Jul 2024

Real-Time Scheduling Method For Dynamic Flexible Job Shop Scheduling, Quan Jiang, Jingxuan Wei

Journal of System Simulation

Abstract: A multi-objective dynamic flexible job shop scheduling problem model with machine breakdown and random jobs arrival is constructed to address the interference of dynamic events in manufacturing processing on the scheduling scheme, and a real-time scheduling method with multiobjective proximal policy optimization (MPPO) algorithm is proposed. The MPPO algorithm trains two agents, routing agent (RA) and sequencing agent (SA), for real-time scheduling and real-time processing of dynamic events. It employs a linear combination of weight vectors and reward vectors as reward signals and stores the agents' parameters for each weight vector to optimize multiple objectives. The required state information, …


Path Planning For Mobile Robot Based On Angle Search, Yaru Wang, Dexin Yao, Zengli Liu, Yi Peng Jul 2024

Path Planning For Mobile Robot Based On Angle Search, Yaru Wang, Dexin Yao, Zengli Liu, Yi Peng

Journal of System Simulation

Abstract: The angle search algorithm for angle-controlled robots is proposed to increase the path search speed and optimize the path length. The algorithm effectively finds a path in static surroundings by performing an efficient search in a specific dimensional range based on the position of the robot and the target point. Firstly, search angles are predetermined according to the characteristics of the environment in the grid map. Then, the estimated angle of the robot's surrounding grid is computed. Finally, a new extension point is chosen by comparing the estimated angle to the search angle, demonstrating the usefulness and viability of …


Digital Application Of Equipment System Test And Evaluation Based On Digital Twin And Parallel Experiment Theory, Hongjie Dang, Wenguang Yu, Huahui Yang Jul 2024

Digital Application Of Equipment System Test And Evaluation Based On Digital Twin And Parallel Experiment Theory, Hongjie Dang, Wenguang Yu, Huahui Yang

Journal of System Simulation

Abstract: With the development of equipment systematization, traditional test with real equipment can not meet the requirements of Test and Evaluation(T&E), especially for complex equipment. As the main digital methods in current, digital twins and parallel experiments can support the digital application in the field of equipment Test and Evaluation. This paper makes a comparative analysis of the two digital technology means, extracts their technical connotation and characteristics, and then integrates them to explore the application mode, application time and application occasions in the field of equipment T&E. Taking the satellite for example, by constructing the digital architecture of equipment …


Interaction Between Virus Transmission Variation And Population Crossover Activity And Diffusion Model, Lei Yu, Xichou Zhu, Huaming Liao, Jiafeng Guo, Xueqi Cheng Jul 2024

Interaction Between Virus Transmission Variation And Population Crossover Activity And Diffusion Model, Lei Yu, Xichou Zhu, Huaming Liao, Jiafeng Guo, Xueqi Cheng

Journal of System Simulation

Abstract: In view of the current high incidence of human-to-human infectious viruses, a multi-agent simulation and deduction model was proposed and designed based on the random characteristics of virus transmission variation and the influence of population crossover activity. The external pathogenicity and infectious characteristics of the virus and the external activities and immune characteristics of the human were quantified, and the interdependence and confrontation process between the virus and the human were modeled. The development trends and statistical characteristics of a large number of viruses and humans were deduced through the model. The experimental analysis reveals that the randomness of …


Decision-Making Considering Power Consumption And Preference For New Energy Under Dual-Credit Policy, Fang Li, Tianhao Dong Jul 2024

Decision-Making Considering Power Consumption And Preference For New Energy Under Dual-Credit Policy, Fang Li, Tianhao Dong

Journal of System Simulation

Abstract: To explore the production decision-making problem of the electrification transformation in the domestic automobile industry faced by automobile manufacturers, different decision-making models under two production scenarios are constructed for the secondary supply chain composed of manufacturers and retailers under the background of a dual-credit policy. The electric energy consumption of new energy vehicles and consumers' preference for new energy are introduced. The Stackelberg game is applied to obtain the optimal production decision and income analysis of each member in the supply chain under different decision modes in different production scenarios. The results show that the in-depth implementation of the …


Finite Element Analysis And Optimization Of The Rotational Stiffness Of Semi-Rigid Base Connection Under Simultaneous Moment And Tension, Mahmoud T. Nawar, Ayman El-Zohairy, Ahmed G. Alaaser, Osman Hamdy Jul 2024

Finite Element Analysis And Optimization Of The Rotational Stiffness Of Semi-Rigid Base Connection Under Simultaneous Moment And Tension, Mahmoud T. Nawar, Ayman El-Zohairy, Ahmed G. Alaaser, Osman Hamdy

Faculty Publications

The base connection is flexible, not fully pinned/fixed, implying a nonlinear moment rotation relationship. This deviates from a linear response, where rotation is not directly proportional to the applied moment. Numerical investigations using the commercial software ABAQUS were conducted to analyze the steel base plate connections. The finite element (FE) models were verified against previous experimental results. Moreover, numerical findings of a comprehensive parametric investigation were conducted. The studied connections were examined with different configurations, including variations in the diameter, spacing, and number of the anchor bolts; the thickness of the base plate; and the applied axial force. The current …


Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat Jul 2024

Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat

LSU Doctoral Dissertations

Globally, the demand for people prepared to enter Science, Technology, Engineering and Math (STEM) careers is increasing. To help fill this demand, many formal and informal STEM educational interventions have been implemented in the K-12 domain. However, due to the lack of a clearly defined framework for documenting the nature and scope of the intervention (National Research Council, 2014), the interventions vary greatly in their success, sustainability, and replicability. This research is grounded in Educational Design Research and uses the principle of Learning Experience Design (LXD) to develop a framework for thoughtfully designing and documenting a STEM intervention. This framework …


Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson Jul 2024

Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson

LSU Doctoral Dissertations

History has shown that when multicultural teams are together for long periods of time, conflict can occur. When put in an isolated environment, these conflicts can become dangerous. This study looked at physically isolated multicultural teams through the lens of systems engineering and if a publicly available escape room video game could measure the team’s individual level team performance and cohesion. The author also evaluated the relationship between these success measures, cultural intelligence, and fusion collaboration. Results showed the escape room video game was a reliable and valid instrument to measure individual level team performance and cohesion. The validity correlation …


Exploring Equity, Diversity, And Inclusion In Computer Science Undergraduate Curricula, Ouldooz Baghban Karimi, Giulia Toti, Fiona Mcneill, Alice Gao, Rutwa Engineer, Shanon Reckinger, Peggy Lindner, Jinyoung Hur, Rebecca Robinson, Anna Sollazzo, Richard Wicentowski Jul 2024

Exploring Equity, Diversity, And Inclusion In Computer Science Undergraduate Curricula, Ouldooz Baghban Karimi, Giulia Toti, Fiona Mcneill, Alice Gao, Rutwa Engineer, Shanon Reckinger, Peggy Lindner, Jinyoung Hur, Rebecca Robinson, Anna Sollazzo, Richard Wicentowski

Engineering Management and Systems Engineering Faculty Research & Creative Works

One of the less explored approaches to foster equity, diversity, and inclusion (EDI) in Computer Science (CS) is through changes to the curriculum. Despite sporadic work on the adoption of Culturally Responsive Computing (CRC) and Universal Design for Learning (UDL), the inclusion of equity-minded courses, or modifications on specific elements of the curriculum such as introductory programming courses, there has never been a wide exploration or adoption of a successful equity-minded undergraduate CS curriculum. In this work, we explore undergraduate CS curricula, with a special focus on upper division, lower division, and service courses (courses offered to non-CS students). For …


Authenticated Diagnosing Of Covid-19 Using Deep Learning-Based Ct Image Encryption Approach, Mohamed Attia Abdelgwad, Amira Hassan Abed, Mahmoud Bahloul Jul 2024

Authenticated Diagnosing Of Covid-19 Using Deep Learning-Based Ct Image Encryption Approach, Mohamed Attia Abdelgwad, Amira Hassan Abed, Mahmoud Bahloul

Future Computing and Informatics Journal

Researchers are motivated to use artificial intelligence in biometrics, medical imaging encryption, as well as cybersecurity due to its rapid progress. An encryption method for CT scans—which are used to diagnose COVID-19 disease—is proposed in this study. The suggested encryption method creates a connection among an individual's face picture and CT image to increase confidentiality. The simple CT picture is first enhanced with a host image. An encryption key is multiplied by the final result. This key is produced by applying a Convolutional Neural Network (CNN) to recognize characteristics from people's face photographs. Additionally, a straightforward CNN with three convolutional …


An Integrated Space Test Lexicon: A Taxonomy For The Integrated Test And Evaluation Of Space Systems, Stephen K. Tullino, Andrew S. Keys, Robert A. Bettinger, Amy M. Cox, David R. Jacques Jul 2024

An Integrated Space Test Lexicon: A Taxonomy For The Integrated Test And Evaluation Of Space Systems, Stephen K. Tullino, Andrew S. Keys, Robert A. Bettinger, Amy M. Cox, David R. Jacques

Faculty Publications

The proposed Integrated Space Test Lexicon is intended to amalgamate the numerous definitions of integrated (IT or IT&E), development test (DT or DT&E), and operational test (OT or OT&E) into unified, service-wide definitions, aligned with the Space Test Enterprise Vision. Refining such definitions will help distill the core characteristics of these fundamental test types to first identify space system activities composing what is traditionally known as DT and OT, then to provide a means of how these activities fit into the IT paradigm and support space system development. In forging a common understanding of how DT and OT support space …


Reinforcement Learning For Strategic Airport Slot Scheduling: Analysis Of State Observations And Reward Designs, Anh Nguyen-Duy, Duc-Thinh Pham, Jian-Yi Lye, Nguyen Binh Duong Ta Jul 2024

Reinforcement Learning For Strategic Airport Slot Scheduling: Analysis Of State Observations And Reward Designs, Anh Nguyen-Duy, Duc-Thinh Pham, Jian-Yi Lye, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

Due to the NP-hard nature, the strategic airport slot scheduling problem is calling for exploring sub-optimal approaches, such as heuristics and learning-based approaches. Moreover, the continuous increase in air traffic demand requires approaches that can work well in new scenarios. While heuristics rely on a fixed set of rules, which limits the ability to explore new solutions, Reinforcement Learning offers a versatile framework to automate the search and generalize to unseen scenarios. Finding a suitable state observation and reward structure design is essential in using Reinforcement Learning. In this paper, we investigate the impact of providing the Reinforcement Learning agent …


Fine-Grained Passenger Load Prediction Inside Metro Network Via Smart Card Data, Xiancai Tian, Chen Zhang, Baihua Zheng Jul 2024

Fine-Grained Passenger Load Prediction Inside Metro Network Via Smart Card Data, Xiancai Tian, Chen Zhang, Baihua Zheng

Research Collection School Of Computing and Information Systems

Metro system serves as the backbone for urban public transportation. Accurate passenger load prediction for the metro system plays a crucial role in metro service quality improvement, such as helping operators schedule train timetables and passengers plan their trips. However, existing works can only predict low-grained passenger flows of origin-destination (O-D) paths or inflows/outflows of each station but cannot predict passenger load distribution over the whole metro network. To this end, this paper proposes an end-to-end inference framework, PIPE, for passenger load prediction of every metro segment between two adjacent stations, by only utilizing smart card data. In particular, PIPE …


A Feasibility-Preserved Quantum Approximate Solver For The Capacitated Vehicle Routing Problem, Ningyi Xie, Xinwei Lee, Dongsheng Cai, Yoshiyuki Saito, Nobuyoshi Asai, Hoong Chuin Lau Jul 2024

A Feasibility-Preserved Quantum Approximate Solver For The Capacitated Vehicle Routing Problem, Ningyi Xie, Xinwei Lee, Dongsheng Cai, Yoshiyuki Saito, Nobuyoshi Asai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO) that arises in various fields including transportation and logistics. The CVRP extends from the Vehicle Routing Problem (VRP), aiming to determine the most efficient plan for a fleet of vehicles to deliver goods to a set of customers, subject to the limited carrying capacity of each vehicle. As the number of possible solutions increases exponentially with the number of customers, finding high-quality solutions remains a significant challenge. Recently, the Quantum Approximate Optimization Algorithm (QAOA), a quantum–classical hybrid algorithm, has exhibited enhanced performance in certain combinatorial optimization problems, such as …


Explainable Artificial Intelligence: Methods And Evaluation, Gayane Grigoryan Jul 2024

Explainable Artificial Intelligence: Methods And Evaluation, Gayane Grigoryan

Engineering Management & Systems Engineering Theses & Dissertations

A wide array of techniques within explainable artificial intelligence (XAI) have been developed to measure the importance of features in machine learning models. A notable portion of these methods draws upon principles of cooperative game theory (CGT), with the Shapley value emerging as a widely used solution concept. Despite the rising prominence of the Shapley value, other promising solutions from cooperative game theory—such as the Nucleolus, Banzhaf power index, Shapley-Shubik power index, and solutions to conflicting claims problems—have been comparatively overlooked, even though they hold significant potential. In this dissertation, multiple XAI methods based on these other CGT solutions are …


Development Of A Conceptual Framework For Complex System Governance (Csg) Performance Measurement, James Hartwell Rutherford Jul 2024

Development Of A Conceptual Framework For Complex System Governance (Csg) Performance Measurement, James Hartwell Rutherford

Engineering Management & Systems Engineering Theses & Dissertations

Within the Complex System Governance (CSG) paradigm, system performance is regulated by nine metasystem governance functions, which provide control, communication, coordination, and integration. However, CSG has lacked a fully developed model or language to richly articulate system performance at a conceptual level. The purpose of this research was to develop a systems theory-based conceptual framework to measure the performance of CSG metasystem governance using an inductive research design.

Although ‘good performance’ may seem like an obvious idea, the current literature on performance measurement across many disciplines and contexts contains vastly inconsistent uses of the word ‘performance.’ Both researchers and practitioners …


Harnessing Social Media For Disaster Response: Intelligent Identification Of Reliable Rescue Requests During Hurricanes, Wael Khallouli Jul 2024

Harnessing Social Media For Disaster Response: Intelligent Identification Of Reliable Rescue Requests During Hurricanes, Wael Khallouli

Engineering Management & Systems Engineering Theses & Dissertations

Hurricanes pose a significant threat to both human lives and infrastructure. Decision-makers face substantial challenges during such events, as they must act quickly to address victims’ needs. Social media platforms provide a valuable source for quick and real-time information. Recent hurricane events have shown that people turn to social media to call for help when official communication channels, such as 911, are overwhelmed. However, extracting actionable information from the massive number of messages posted on social media is challenging. Furthermore, verifying social media messages posted by the public is a critical concern for disaster response practitioners, making them hesitant to …


Optimizing The Expression Of Polyethylene Terephtalate Hydrolase-Encoding Synthetic Gene In Escherichia Coli Arctic Express (De3), Jocelyn Nataniel, Maria Ulfah, Dini Achnafani, Niknik Nurhayati, Gabriela Christy Sabbathini, Sri Rezeki Wulandari, Abinawanto Abinawanto, Is Helianti Jun 2024

Optimizing The Expression Of Polyethylene Terephtalate Hydrolase-Encoding Synthetic Gene In Escherichia Coli Arctic Express (De3), Jocelyn Nataniel, Maria Ulfah, Dini Achnafani, Niknik Nurhayati, Gabriela Christy Sabbathini, Sri Rezeki Wulandari, Abinawanto Abinawanto, Is Helianti

Makara Journal of Science

The waste of polyethylene terephthalate (PET) plastic waste in Indonesia is a pressing concern due to its slow degradation and potential environmental damage. One promising solution is to utilize polyethylene terephthalate hydrolase from Ideonella sakaiensis (IsPETase), an enzyme that specifically degrades PET. However, inducing the expression of IsPETase synthetic gene in Escherichia coli BL21 (DE3) has been challenging because much of it remains insoluble. This study aimed to express IsPETase in E. coli Arctic Express (DE3) and optimize the conditions to enhance its production. First, pET22b(+)pelB-IsPETase was inserted into E. coli Arctic Express (DE3). The …


Ultrasonic Flow Meter Calibration Via The Internet Using An Analog-To-Digital Converter, Aliev Ravshan, A.U. Djalilov Jun 2024

Ultrasonic Flow Meter Calibration Via The Internet Using An Analog-To-Digital Converter, Aliev Ravshan, A.U. Djalilov

Chemical Technology, Control and Management

The purpose of scientific research work is remote control of improving the metrological properties of the water flow measuring device. Therefore, the Arduino platform with an additional ESP8266 NodeMcu v3 and analog-to-digital converter, module was installed in the scientific article for automatic calibration/checking of ultrasonic flow meters used in irrigation networks. The module is integrated into a 32-bit microcontroller with low power consumption. The ESP8266 NodeMcu v3 module operates at 80 and 160 MHz clock frequencies, supports real-time operating system (RTOS), built-in Wi-Fi, and has a microstrip antenna on board. Through this, the data exchange between the computing equipment and …


Environmental Monitoring And Control System Of Greenhouse Based On Internet Of Things Technology, Ru Jiang, Nadirbek Yusupbekov Jun 2024

Environmental Monitoring And Control System Of Greenhouse Based On Internet Of Things Technology, Ru Jiang, Nadirbek Yusupbekov

Chemical Technology, Control and Management

Greenhouse is an important application scene of modern agriculture. In this paper, a set of greenhouse environmental monitoring, facility remote control and production management system is designed and implemented based on Internet of Things technology for the development needs of modern agriculture in greenhouse. The system selects STM32F407 control board as the main controller to realize real-time monitoring of greenhouse environmental parameters including temperature and humidity, soil nutrients, soil pH and other greenhouse environmental information, and can adjust greenhouse environmental parameters by controlling the irrigation system, roller shutters, fans, shading curtains and other facilities in the greenhouse. The main controller …


Structural And Parametric Identification Of Recycling Systems, Khusan Igamberdiev, Madina Mirxalilovma Fozilova Jun 2024

Structural And Parametric Identification Of Recycling Systems, Khusan Igamberdiev, Madina Mirxalilovma Fozilova

Chemical Technology, Control and Management

The issue of identifying recirculation systems with a specific control loop, in which information and control information about various technological processes circulate, is being considered. A methodology for identifying recirculation systems has been developed, based on algorithms for structural identification of the model based on the results of assessing the sensitivity of the optimum of control parameters and a fuzzy inference algorithm based on production rules that contribute to solving the problem of parametric identification.


Research Of The Fuzzy Control System For Adjusting Thread Tension During The Warping Process, To'xtamurod Hayitmurodovich Avezov, Zokhid Ergashboyevich Iskandarov Jun 2024

Research Of The Fuzzy Control System For Adjusting Thread Tension During The Warping Process, To'xtamurod Hayitmurodovich Avezov, Zokhid Ergashboyevich Iskandarov

Chemical Technology, Control and Management

The paper considered issues of research into a fuzzy control system for the warping process. During the warping process, the reasons that cause defects in the final finished product have been studied, firstly (remove this word) which are thread breakage, thread tangling, the formation of loops on or under the belt, hanging loose threads and similar factors. To study the warping process, its mathematical model is constructed. Kinematic parameters of stationary movement corresponding to the equilibrium mode were determined by solving the nonlinear functional matrix - equation of movement. The process of breakage the warp of the threads under oscillation …


Research Of A New Technological Flowsheet Parameters For Uranium Mining From Technogenic Uranium Ores, Nazarov Jamol, G.M. Allaberganova, H.L. Pulatov, A.M. Muzafarov Jun 2024

Research Of A New Technological Flowsheet Parameters For Uranium Mining From Technogenic Uranium Ores, Nazarov Jamol, G.M. Allaberganova, H.L. Pulatov, A.M. Muzafarov

Chemical Technology, Control and Management

This paper presents the results of a study of the parameters of a new technological scheme for the extraction of uranium from technogenic uranium ores. The results of the analytical determination of the concentration of parent - 238U and daughter radionuclides - 234U , 230Th , 226Ra , 222Rn , 218Pa , 214Pb , etc. are presented . in the studied technogenic uranium ores. The principal scheme of the new uranium extraction technology from technogenic uranium ores is presented. The use of the classifier in a new scheme for separating granules of technogenic …


Assessment Of Metrological Errors Of Recognition Metrics In The Intelligent Control And Regulation System Of The Cotton Harvesting Machine, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Azizjon Abdulla Ugli Abdulhamidov Jun 2024

Assessment Of Metrological Errors Of Recognition Metrics In The Intelligent Control And Regulation System Of The Cotton Harvesting Machine, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Azizjon Abdulla Ugli Abdulhamidov

Chemical Technology, Control and Management

This article presents a method for assessing the error of metrics of an intelligent system for monitoring and regulating the width of the working gap of the harvesting apparatus of a cotton picker. To assess the error, the calculation of the average value of the standard deviation of metrics, absolute systematic and random errors, as well as absolute and relative total errors are used. The results of these calculations will allow us to determine the accuracy of the recognition system and opportunities for its improvement.