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Articles 241 - 270 of 52927
Full-Text Articles in Entire DC Network
Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong
Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong
Research Collection College of Integrative Studies
A power station or transmission line can be affected due to bushfires, increasing operation costs. We study a fundamental but challenging problem of planning the optimal power flow (OPF) for power systems under bushfires. We develop a model to capture the stochastic nature of bushfire spread based on Moore’s neighborhood model and propose an online optimization modeling framework to sequentially plan power flows in the electricity network. Our framework assumes that bushfire spread is non-stationary over time and that the spread and containment probabilities are unknown. To address these challenges, we develop a contextual online learning algorithm that treats the …
Thiol-Based Neuroprotective Copolymers Acutely Restore Redox Metabolism And Mediate Vasogenic Edema In A Mouse Model Of Traumatic Brain Injury, Evan T. Curtis, Brandon Z. Mcdonald, Aria W. Tarudji, Aaron M. Priester, Anthony J. Convertine, Forrest M. Kievit
Thiol-Based Neuroprotective Copolymers Acutely Restore Redox Metabolism And Mediate Vasogenic Edema In A Mouse Model Of Traumatic Brain Injury, Evan T. Curtis, Brandon Z. Mcdonald, Aria W. Tarudji, Aaron M. Priester, Anthony J. Convertine, Forrest M. Kievit
Materials Science and Engineering Faculty Research & Creative Works
Effective pharmaceutical interventions for treating the secondary damage associated with traumatic brain injury (TBI) are limited due to poor delivery into the brain, insufficient target engagement, and an incomplete understanding of the pathophysiological changes that occur post-impact. Thus, nanoparticles (NP), which have an enhanced permeation and retention-like effect within the perturbed blood-brain barrier, have grown as a potential candidate for treating TBI. We have investigated the antioxidant capacity of thiol-based NP, termed neuroprotective copolymers (NPC3), and their ability to neutralize reactive oxygen species (ROS) and lipid peroxidation products (LPOx). Here, we assessed the efficacy of NPC3 for alleviating the secondary …
Sliding Mode Control In Grid-Tied Inverters: Techniques, Applications, And Future Directions, Taimoor Muzaffar Gondal, Asma Aziz, Daryoush Habibi, Iftekhar Ahmad
Sliding Mode Control In Grid-Tied Inverters: Techniques, Applications, And Future Directions, Taimoor Muzaffar Gondal, Asma Aziz, Daryoush Habibi, Iftekhar Ahmad
Research outputs 2022 to 2026
Sliding mode control (SMC) has emerged as a robust and adaptive strategy for grid-tied inverters. It has unique attributes which make it an appropriate control choice under increasingly complex power systems. However, there are a limited number of review articles which comprehensively explore the true potential of SMC for grid-tied inverter applications. This systematic review has been structured to explore SMC techniques with respect to certain challenges, i.e., stability challenges, unbalanced conditions, low inertia scenarios, and harmonics distortion. The classification of various SMC techniques is presented with respect to their control law and sliding surfaces design. The comparative analysis indicates …
Nb–Zr Interdiffusion In The (Hf,Ta,Ti,Nb)B2–(Hf,Ta,Ti,Zr)B2 High-Entropy Boride System, Ana C. Feltrin, Yue Zhou, Stefano Curtarolo, Gregory E. Hilmas, William G. Fahrenholtz
Nb–Zr Interdiffusion In The (Hf,Ta,Ti,Nb)B2–(Hf,Ta,Ti,Zr)B2 High-Entropy Boride System, Ana C. Feltrin, Yue Zhou, Stefano Curtarolo, Gregory E. Hilmas, William G. Fahrenholtz
Materials Science and Engineering Faculty Research & Creative Works
Niobium (Nb) presents a challenge for achieving homogeneous solid solutions in high-entropy boride and carbide ceramics. In this work, we synthesized (Hf,Ta,Ti,Zr)B2 (Zr-HEB) and (Hf,Ta,Ti,Nb)B2 (Nb-HEB) ceramics by boro/carbothermal reduction, followed by densification via spark plasma sintering (SPS). Diffusion couples were prepared to investigate the interdiffusion behavior of Nb and zirconium (Zr) in these complex systems at temperatures between 2000°C and 2200°C. Aside from Nb and Zr, the other elements exhibited no significant concentration gradient across the diffusion interface. Nb exhibited lower diffusion coefficients ((Formula presented.) Nb = 1.7 x 10−17–1.2 x 10−16 m2 …
Vehicle Autonomy To Ecosystem Intelligence: A Systematic Review Of Dynamic Vision Architectures In Surface Mining Operations, Nana Yaa Damtewaa Anti, Samuel Frimpong, Muhammad Azeem Raza
Vehicle Autonomy To Ecosystem Intelligence: A Systematic Review Of Dynamic Vision Architectures In Surface Mining Operations, Nana Yaa Damtewaa Anti, Samuel Frimpong, Muhammad Azeem Raza
Mining Engineering Faculty Research & Creative Works
Autonomous Haulage Systems (AHS) have significantly transformed surface mining operations by improving safety, productivity, and operational consistency. Currently, AHS predominantly rely on vehicle-centric perception architectures. Onboard LiDAR, radar, cameras, and Global Navigation Satellite Systems (GNSS) perform sensing, interpretation, and decision-making within individual systems. These processes enable collision avoidance and path tracking. However, they are limited in their ability to consider the broader, dynamic mining environment characterized by dust, terrain degradation, geotechnical instability, heterogeneous traffic, and rapidly evolving operational conditions. This paper presents a systematic review of dynamic vision systems of AHS in surface mining. It critically analyzes the transition from …
Finite-Temperature Grain-Boundary Segregation In High-Entropy Carbides, Marium M. Mou, Tarek Md Anamul Haque, Samuel E. Daigle, Josiah Roberts, William G. Fahrenholtz, Jon Paul Maria, Douglas E. Wolfe, Eva Zurek, Stefano Curtarolo, Donald W. Brenner
Finite-Temperature Grain-Boundary Segregation In High-Entropy Carbides, Marium M. Mou, Tarek Md Anamul Haque, Samuel E. Daigle, Josiah Roberts, William G. Fahrenholtz, Jon Paul Maria, Douglas E. Wolfe, Eva Zurek, Stefano Curtarolo, Donald W. Brenner
Materials Science and Engineering Faculty Research & Creative Works
High-entropy carbides are promising candidates for extreme-temperature environments, but their grain-boundary chemistry remains difficult to resolve because segregation involves both chemical disorder and finite-temperature configurational sampling. Here, we quantify temperature-dependent grain-boundary segregation in high-entropy carbides using a universal message-passing atomic cluster expansion (MACE) machine learning interatomic potential combined with a hybrid Monte Carlo–molecular dynamics workflow. A 53.1 (Formula presented.) (Formula presented.) symmetric tilt grain boundary was sampled for six representative high-entropy carbide compositions containing group IV, V, and VI transition metals at 300 and 2000 K. Element-resolved metal-sublattice composition profiles reveal composition-dependent segregation modes. Several chemistries exhibit selective near-boundary enrichment …
A Comparative Evaluation Of Experimentally Validated Finite Element Modeling Strategies To Simulate Compression-After-Impact Behavior Of Multidirectional Cfrp Laminates With Barely Visible Impact Damage, Niildiip Chandraa, Vinh Tung Le, Arief Yudhanto, Abhendra K. Singh, Douglas E. Smith
A Comparative Evaluation Of Experimentally Validated Finite Element Modeling Strategies To Simulate Compression-After-Impact Behavior Of Multidirectional Cfrp Laminates With Barely Visible Impact Damage, Niildiip Chandraa, Vinh Tung Le, Arief Yudhanto, Abhendra K. Singh, Douglas E. Smith
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Abstract The finite element-based approaches to predict compression-after-impact (CAI) performance of carbon fiber reinforced polymer (CFRP) subject to a low-velocity impact rely on assumptions about compressive failure mechanisms within the barely visible impact damage (BVID). Comprehensive evaluations of finite element (FE) models concerning accuracy, efficiency, and validity with respect to experimental tests are limited. This study explores several finite element-based approaches developed in ABAQUS Explicit to predict the residual strength and related compressive failure mechanisms of multidirectional CFRP laminates. Drop-weight impact experiments followed by CAI tests employing 3D Digital Image Correlation (DIC) were used to validate our FE models by …
Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar
Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar
Research Collection School Of Computing and Information Systems
Unmanned Aerial Vehicles (UAVs) are increasingly deployed in safety-critical applications such as logistics, surveillance, disaster response, and urban air mobility. While their autonomy enables powerful capabilities, it also introduces vulnerabilities due to hardware faults, software defects, communication failures, and adversarial interference. This survey presents a comprehensive review of research studies closely related to UAV anomalies published between 2015 and 2025, covering 111 papers from academic and industrial sources. We introduce a unified five-pillar taxonomy—anomaly generation, prevention, detection, recovery, and analysis—that organizes existing work across the full anomaly management lifecycle. In contrast to prior surveys that focus primarily on detection algorithms, …
Neural Network Technologies In The Automatical Control Systems Of Absorption Process For Pureficating Natural Gas, Abdishukurov Maqsudovich Shavkat Mr, Xuecheng Li Li Xuecheng Mr
Neural Network Technologies In The Automatical Control Systems Of Absorption Process For Pureficating Natural Gas, Abdishukurov Maqsudovich Shavkat Mr, Xuecheng Li Li Xuecheng Mr
Technical science and innovation
Analysis of methods and algorithms for synthesizing adaptive control systems for technological processes based on the neural network approach is carried out in this search. The stages of mathematical modeling of complex technological processes using neural network technology were considered. Additionally, an algorithm for solving the interpolation and extrapolation problem that arises in the training process a neural network to control system was proposed. At the final stage of this article, algorithms based on neural network technology are synthesized for the control system for the parameters of the technological process of natural gas purification by absorption
Hsv-1 Us3 Hijacks Conserved Actin Regulatory Complexes To Drive F-Actin Remodeling, Md Imran Hossain, Md Arifuzzaman, Md Mehedi Hasan, Seung Jong Park, Leila Rahimian, Ojasvi Dutta, Vladimir Chouljenko, Harikrishnan Mohan, Reza Ghavimi, Konstantin G. Kousoulas
Hsv-1 Us3 Hijacks Conserved Actin Regulatory Complexes To Drive F-Actin Remodeling, Md Imran Hossain, Md Arifuzzaman, Md Mehedi Hasan, Seung Jong Park, Leila Rahimian, Ojasvi Dutta, Vladimir Chouljenko, Harikrishnan Mohan, Reza Ghavimi, Konstantin G. Kousoulas
Computer Science Faculty Research & Creative Works
The herpes simplex virus 1 (HSV-1) US3 is a multifunctional serine/threonine kinase that promotes HSV-1 replication and spread. But its role and the mechanisms by which US3 regulates actin cytoskeletal remodeling remain poorly defined. We combined flow cytometry, confocal microscopy, immunoprecipitation-mass spectrometry (IP-MS), protein complex mapping, and machine learning to characterize US3-mediated F-actin dynamics. Flow cytometry and confocal microscopy showed that wild-type HSV-1 induces significant F-actin remodeling, while the ΔUS3 mutant displays F-actin levels comparable to uninfected cells, identifying US3 as a key regulator. IP-MS identified 47 high-confidence US3 interactors enriched in conserved actin regulatory complexes, including Arp2/3 nucleation machinery, …
Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade
Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade
Journal of Pre-College Engineering Education Research (J-PEER)
Precollege students in Indonesia, especially in rural and coastal regions, often lack exposure to engineering disciplines due to social, geographic, and informational barriers. This essay proposes a conceptual model of alumni-led near-peer outreach as an affective and culturally grounded mechanism to engage high school students in ocean engineering. Drawing from theories of social similarity, possible selves, and engineering identity, the model conceptualizes alumni as “aspirational mirrors” who influence students not merely through information but also through identification. The model outlines four primary mechanisms—social connection, narrative engagement, aspirational mirroring, and early identity activation—and also accounts for contextual variables such as school …
Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa
Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa
BAU Journal - Science and Technology
A comprehensive evaluation of current and novel diagnostic techniques is necessary since the diagnosis of breast cancer is essential for improving treatment efficacy and raising long-term survival. Evidence from conventional imaging methods including mammography, ultrasonography, and magnetic resonance imaging is combined in this systematic review with advancements in liquid biopsies and current AI-based diagnostic tools. Using specific keywords related to breast cancer, early detection, imaging, biomarkers, and artificial intelligence, a thorough search was conducted in PubMed, Scopus, Web of Science, and IEEE Xplore. Reviews, case reports, and studies unrelated to breast cancer were excluded; only clinical, experimental, and computational research …
Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq
Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq
Al-Esraa University College Journal for Engineering Sciences
Android malware is not only increasing in size and sophistication but is also a challenge to be detected on a large scale. Static analysis is popular due to its ability to detect malware without running applications or tracing run-time events. However, features, datasets, labeling methods, and assessment methodology differ, which makes studying performance difficult. This is a systematic study of 78 peer reviewed articles written between 2021 and 2026 regarding the Android malware detection by static analysis. In each of the studies, the current survey cover the following feature source, feature representation and engineering, learning paradigms, datasets and labeling methods, …
Enhancement Of Tribological Behavior Of Rotating Bearings Using Advanced Ceramic Compounds Via Thermal Spray Techniques, Amjid Shihab Abdul Jaleel
Enhancement Of Tribological Behavior Of Rotating Bearings Using Advanced Ceramic Compounds Via Thermal Spray Techniques, Amjid Shihab Abdul Jaleel
Al-Esraa University College Journal for Engineering Sciences
Rotating machines constitute the main part of the most important industrial sectors in Iraq such as oil and gas production, power generation, and manufacturing. The harsh operating conditions however, in the form of high temperatures, corrosive agents and abrasive particulates are causes of premature failure of crucial components such as journal bearings. This study examines the improvement of tribological characteristics of normal steel journal bearings using superior ceramic coating using thermal spray. In particular, atmospheric plasma spray (APS) was used to deposit Alumina-Titania (Al2O3–TiO2) and Zirconia (ZrO2)coating on A106 Grade B carbon …
Effect Of Nano-Additives On Fracture Toughness Of Engineering Materials: An Experimental Study, Humam Ahmed Awad
Effect Of Nano-Additives On Fracture Toughness Of Engineering Materials: An Experimental Study, Humam Ahmed Awad
Al-Esraa University College Journal for Engineering Sciences
Structural integrity and service life of engineering components is based on fracture resistance. The paper presents an experimental study on the nano-additive that can be added to the locally-produced Iraqi engineering materials in order to enhance their fracture toughness. The research was inspired by the increasing demand in high-performance materials in the main sectors of the country such as infrastructure and energy besides the need to improve the properties of local resources. The tested material systems were two Portland cement composites and epoxy-based polymers. Nano-silica (n-SiO2 nano-alumina (n-Al2O3) and multi-walled carbon nanotubes (MWCNTs) were added …
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
Al-Esraa University College Journal for Engineering Sciences
In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …
Objective Biomarker Development For Parameter Optimization In Neuromodulation Using High-Density Emg Temporal And Spatial Features, Shirin Madarshahian, Nikoo Javadpour, Michael Trakhtorchuck, Tatiana Guerrero-David, Kristin Gustafson, James Harrop, Caio Matias, M. J. Mulcahey, Alessandro Naopli, Alex R. Vaccaro, Mijail Serruya
Objective Biomarker Development For Parameter Optimization In Neuromodulation Using High-Density Emg Temporal And Spatial Features, Shirin Madarshahian, Nikoo Javadpour, Michael Trakhtorchuck, Tatiana Guerrero-David, Kristin Gustafson, James Harrop, Caio Matias, M. J. Mulcahey, Alessandro Naopli, Alex R. Vaccaro, Mijail Serruya
Farber Institute for Neuroscience Faculty Papers
Transcutaneous spinal cord stimulation (tSCS) is a promising neuromodulation approach for motor recovery after spinal cord injury (SCI), yet clinical programming remains largely dependent on subjective parameter selection. This study evaluated high-density surface EMG (HD-sEMG)–derived spatial and temporal features as objective biomarkers for tSCS optimization in three adults with chronic cervical SCI. A 64-channel electrode array recorded stimulation-evoked responses across five cervical stimulation levels, four pulse widths, and graded amplitudes. Features describing activation magnitude, spatial distribution, cluster morphology, and temporal dynamics were extracted from epoch-based activation maps. Of the three enrolled participants, two demonstrated measurable stimulation-evoked responses and contributed to …
Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada
Review And Analasys Of Explainable Artificial Intelligence Applications In Distributed Systems And Microservices, Latafat Abbas Gardashova, Allahshukur Mirzazada
Chemical Technology, Control and Management
The widespread use of AI systems in important infrastructure, it's very important that algorithmic decision-making processes are clear and easy to understand. Explainable Artificial Intelligence (XAI) has emerged as a vital research domain addressing the opacity in contemporary machine learning models, particularly deep neural networks, which function as inscrutable black boxes. This literature review provides a comprehensive examination of XAI methodologies and their applications in distributed systems, with a particular emphasis on microservice architectures. The review compiles contemporary taxonomies of XAI methods and elucidates the fundamental strategies that facilitate the comprehension of models across various computing environments. This study also …
Planning The Movements Of Robots Based On Intellectual Technologies, Temurbek Omonboevich Rakhimov, Dildora Usmonovna Sevinova
Planning The Movements Of Robots Based On Intellectual Technologies, Temurbek Omonboevich Rakhimov, Dildora Usmonovna Sevinova
Chemical Technology, Control and Management
This article is devoted to the issues of planning the actions of robots based on intelligent technologies. One of the main issues in the intelligent planning of robot manipulators' movements is to determine the configuration of the links corresponding to the final position of the manipulator handle in the given Cartesian coordinate. Including the planning of robot movements based on intelligent technologies, the automation of production processes, the discretization of the space of links in the process of planning the movements of robots is important, because this space determines the possible states of the robot handle. The article considers the …
Fuzzy-System-Based Correction Of Nonlinearities In Complex Dynamic Plants, Zokhid Ergashboyevich Iskandarov, Tukhtamurod Khayitmurodovich Avezov
Fuzzy-System-Based Correction Of Nonlinearities In Complex Dynamic Plants, Zokhid Ergashboyevich Iskandarov, Tukhtamurod Khayitmurodovich Avezov
Chemical Technology, Control and Management
A method for synthesizing a fuzzy compensating element from the static characteristic of a nonlinear plant is presented. The method transforms the characteristic into a rotated coordinate system, identifies zero crossings and local extreme, maps the characteristic points back to the original coordinates, and uses them to determine the antecedent membership functions and singleton consequents of a zero-order Sugeno inference system. Unlike heuristic rule tuning, the proposed procedure derives the rule base directly from the geometry of the nonlinear characteristic. An adaptive reconfiguration mechanism based on a mismatch indicator is also formulated for operating conditions in which plant parameters vary …
Modeling Of A Mechatronic Module Based On A Linear Motion Actuator, Nodira Batirdjanovna Аlimova, Bekmurod Bayotovich Yusupov
Modeling Of A Mechatronic Module Based On A Linear Motion Actuator, Nodira Batirdjanovna Аlimova, Bekmurod Bayotovich Yusupov
Chemical Technology, Control and Management
This article is devoted to the modeling of a mechatronic module based on linear motion actuator, including the processes of modeling the dynamic, kinematic, and control parameters of the mechatronic module, as well as the design and functional characteristics of the drives providing linear motion. In modern manufacturing enterprises and automated production systems, the need for mechatronic modules with high accuracy, speed, and reliability is increasing. In addition, mechatronic systems based on linear motion play a key role in the efficient control of technological processes, increasing positioning accuracy, and reducing energy consumption. The article presents mathematical models that allow one …
Mathematical Modeling And Image Processing Algorithms In Artificial Intelligence-Based Technical Vision Systems, Erkin Uljaev, Ulmasjon Ulfat Ogli Abdixalilov
Mathematical Modeling And Image Processing Algorithms In Artificial Intelligence-Based Technical Vision Systems, Erkin Uljaev, Ulmasjon Ulfat Ogli Abdixalilov
Chemical Technology, Control and Management
This paper presents a comprehensive study on the development of a mathematical model and image processing algorithms for artificial intelligence-based technical vision systems. The research focuses on analyzing the structural organization and functional components of the system, including image acquisition devices, illumination subsystems, and data processing modules that ensure stable and accurate operation. A systematic and integrated approach is applied to model the transformation of object parameters and to enhance the accuracy, robustness, and reliability of object detection processes. Particular attention is given to image preprocessing, segmentation techniques, and contour detection algorithms, as these stages play a crucial role in …
Development Of A Smart Solar Panel Based On Embedded Systems, Khotam Bakhtiyor Ugli Mirzokulov
Development Of A Smart Solar Panel Based On Embedded Systems, Khotam Bakhtiyor Ugli Mirzokulov
Chemical Technology, Control and Management
This paper addresses the growing need for sustainable energy solutions by analyzing global solar energy trends and the barriers limiting renewable energy deployment in Uzbekistan, despite national goals such as the Strategy for Transition to a Green Economy. The research presents the design and implementation of a smart dual-axis solar tracking system based on the Arduino Uno microcontroller, integrating four LDR sensors and two servo motors to automatically align a photovoltaic panel with maximum solar radiation. A control algorithm continuously compares light intensity values, adjusts horizontal and vertical angles, and ensures safe mechanical operation. The developed prototype demonstrates improved light …
Investigation Of The Problems Of Intelligent Control Of The Process Of Low-Temperature Separation Of Natural Gas., Shaxzod Nurmuhammad O‘G‘Li Amirov
Investigation Of The Problems Of Intelligent Control Of The Process Of Low-Temperature Separation Of Natural Gas., Shaxzod Nurmuhammad O‘G‘Li Amirov
Chemical Technology, Control and Management
This article analyzes the problems of intelligent control of the process of low-temperature separation (LTS) of natural gas and modern approaches to solving them. Since the process complexity of gas separation at low temperature as well as multidimensional technological parameters have nonlinear control properties, a principled technological scheme for intellectual control of technological parameters such as gas humidity, temperature, pressure, consumption and diethylenglicol (DEG) consumption of the LTS process has been developed. The analysis and literature review show that intellectual control methods allow for stable operation of the technological process, reduced energy consumption, reduced heat exchange, and reduced gas hydrate …
Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev
Management Of Multi-Agent Robotic Systems Using Artificial Intelligence Technologies, A.T. Hamiyev
Chemical Technology, Control and Management
This article addresses the problem of managing multi-agent robotic systems using artificial intelligence technologies. A hybrid model combining the Vision-Language-Action (VLA) architecture with the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm is proposed for the synergetic control of a group of robots. The model is built on the Centralized Training with Decentralized Execution (CTDE) principle, with a Social-Force component incorporated into the reward function to automatically maintain a safe distance between agents. Experiments were conducted in the NVIDIA Isaac Sim environment using a dataset of over 10,000 trajectories and scenarios involving 4 to 16 agents. The results show a 90% …
Architecture Of The Information System Supporting Information Processing And Decision-Making In Medicine, Isamidin Sidikov, Sanjarbek Bekturdiev
Architecture Of The Information System Supporting Information Processing And Decision-Making In Medicine, Isamidin Sidikov, Sanjarbek Bekturdiev
Chemical Technology, Control and Management
This article examines the architecture of an information system that supports information processing and clinical decision-making in the field of medicine. The system is described using a multilayer functional model that enables the integration, analysis, and efficient utilization of heterogeneous data. The utilization of the BioBERT and XGBoost neural network models at data collection, preparation and analysis, as well as decision-making steps using machine learning and expert systems are summarized. The use of IDEF methodology for modeling medical information system is reviewed and the importance of IDEF0, IDEF1, IDEF1X, IDEF2, and IDEF3 models is emphasized. An efficient paradigmatic model for …
Adaptive Control And Optimization Methods In Complex Robotic Systems Using Artificial Intelligence Algorithms, Otajon Normuminovich Norboyev
Adaptive Control And Optimization Methods In Complex Robotic Systems Using Artificial Intelligence Algorithms, Otajon Normuminovich Norboyev
Chemical Technology, Control and Management
This research addresses the critical problem of controlling complex robotic systems characterized by parametric uncertainty and external disturbances. Within the scope of this work, a novel adaptive control model was developed based on the integration of artificial intelligence elements and modern control theory. The proposed approach combines classical nonlinear control theory, Lyapunov stability analysis, and neural function approximation mechanisms into a single, unified system. The primary advantage of this model is that it does not require prior exact knowledge of system parameters and ensures high precision and energy efficiency by minimizing the control functional in real-time. Unknown system dynamics are …
Integration Of Adaptive Kalman Filter And Bayesian Models For Diagnostics And Reliability Assessment Of Vision Sensors, Rustam Tulkunovich Khamdamov, Marjona Jasubek Qizi Xoliqova
Integration Of Adaptive Kalman Filter And Bayesian Models For Diagnostics And Reliability Assessment Of Vision Sensors, Rustam Tulkunovich Khamdamov, Marjona Jasubek Qizi Xoliqova
Chemical Technology, Control and Management
Vision-based sensors constitute a cornerstone of contemporary automation, robotics, and intelligent transportation systems, where their reliability directly determines operational safety and efficiency. Conventional Kalman filtering achieves optimal state estimation under linear dynamics and stationary noise assumptions, yet its performance deteriorates in the presence of sensor malfunctions or nonstationary environments. This study proposes an innovative framework that couples an adaptive Kalman filter with Bayesian inference to strengthen diagnostic capabilities and reliability evaluation of vision sensors. The Kalman filter provides dynamic state tracking, while Bayesian reasoning enables probabilistic fault identification and reliability quantification. The methodological novelty lies in the real-time adjustment of …
Coupled Multiphysics Transport-Reaction Modeling Framework For Combustion Synthesis Of Cement Phases: Insights Into Β-C2s Formation And Wavefront Dynamics, Sayee Srikarah Volaity, Shubham Agrawal, Aditya Kumar, Narayanan Neithalath
Coupled Multiphysics Transport-Reaction Modeling Framework For Combustion Synthesis Of Cement Phases: Insights Into Β-C2s Formation And Wavefront Dynamics, Sayee Srikarah Volaity, Shubham Agrawal, Aditya Kumar, Narayanan Neithalath
Materials Science and Engineering Faculty Research & Creative Works
Biofuel-based combustion synthesis (BCS) processes offer low-temperature, low-carbon routes to lime and clinker production. However, they involve tightly coupled interactions between heat transfer, gas flow, and sequential solid-state reactions within reactive pellets. Experiments typically provide surface temperature evolution and final phase assemblages but give limited insight into the conversion process and the interaction between composition and process conditions. A coupled transport-reaction framework is developed here to resolve this limitation─the synthesis of β-C2S (belite), a major cementing phase, serving as an example. Transient conservation equations for energy, momentum, and species are solved for a porous pellet exchanging heat and mass with …
Characteristics And Microscopic Mechanisms Of Nsep-Modified Asphalt With Reduced Fume Emission And Enhanced Environmental Benefits, Yiliang Li, Jianguo Wei, Anmin Zou, Jinming Li, Jenny Liu, Di Wang, Xuan Xiao, Yuming Zhou
Characteristics And Microscopic Mechanisms Of Nsep-Modified Asphalt With Reduced Fume Emission And Enhanced Environmental Benefits, Yiliang Li, Jianguo Wei, Anmin Zou, Jinming Li, Jenny Liu, Di Wang, Xuan Xiao, Yuming Zhou
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Toxic fumes emitted during the construction and maintenance of hot-mix asphalt mixtures represent a significant challenge for both the environment and construction workers. To reduce the generation of these toxic fumes, nano-sepiolite (NSEP, a natural mineral) powder was incorporated into base asphalt (BA), styrene-butadiene-styrene (SBS) -modified asphalt (SBSA), and crumb rubber-modified asphalt (CRA) to formulate sepiolite-modified asphalt binders. The rheological properties of these NSEP-modified asphalts were evaluated using dynamic shear rheometer (DSR) and bending beam rheometer (BBR) tests. Subsequently, smoke density tests and gas chromatography-mass spectrometry (GC-MS) were utilized to analyze the quantity and composition of the volatile organic compounds …