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Articles 301 - 330 of 78673
Full-Text Articles in Entire DC Network
Synthesis Of Fe-Doped Porous Carbon Catalyst Derived From Coconut Shell Waste Using Ferric Nitrate Nonahydrate (Fe(No3)3.9h2o) As An Iron Precursor, Ilham Lestadi Putra, Sukarni Sukarni, Heru Suryanto
Synthesis Of Fe-Doped Porous Carbon Catalyst Derived From Coconut Shell Waste Using Ferric Nitrate Nonahydrate (Fe(No3)3.9h2o) As An Iron Precursor, Ilham Lestadi Putra, Sukarni Sukarni, Heru Suryanto
Journal of Mechanical Engineering Science and Technology (JMEST)
Renewable energy from lignocellulosic biomass is a promising alternative to fossil fuels. Coconut shell (CS) waste is a favorable precursor for porous carbon due to its high carbon content, abundance, and non-food nature. However, conventional biochar often has limited surface area and catalytic active sites, hindering its effectiveness as a catalyst. While Fe-based modifications are promising, the use of ferric nitrate-assisted activation of coconut-shell-derived porous carbon remains underexplored. This research focused on developing an Fe-doped porous carbon catalyst from CS via ultrasound-assisted impregnation, followed by activation in a tube furnace. CS biochar was produced through pyrolysis at 550 °C and …
Deployment-Oriented Evaluation Of Temporal And Spatial Forecasting Approaches For Electric Vehicle Charging Demand In Energy Systems, Maher Alaraj, Eyob Solomon Getachew
Deployment-Oriented Evaluation Of Temporal And Spatial Forecasting Approaches For Electric Vehicle Charging Demand In Energy Systems, Maher Alaraj, Eyob Solomon Getachew
All Works
Accurate short-term electric vehicle (EV) charging demand forecasting is important for charging infrastructure operation, grid management, and energy-system planning. This study presents a deployment-oriented and reproducible evaluation of temporal, spatial, and unified spatio-temporal forecasting approaches for day-ahead EV charging demand prediction. Using publicly available charging-session data aggregated at hourly resolution across ZIP-code regions, we compare persistence and ARIMA baselines, XGBoost, Long Short-Term Memory (LSTM) networks, Graph Convolutional Networks (GCNs), and a unified GCN+LSTM architecture under a consistent preprocessing pipeline, leakage-free validation protocol, and rolling-origin evaluation framework. For the Boulder ZIP-code dataset considered in this study, temporal information provided the dominant …
Application Of Tailings From Aluminium, Copper, And Iron Extraction As Asphalt Mixture Materials: A Review, Daniel Oguntayo, Temitope Awolusi, Samuel Gboyega Arowolo, Paul Terkumbur Adeke
Application Of Tailings From Aluminium, Copper, And Iron Extraction As Asphalt Mixture Materials: A Review, Daniel Oguntayo, Temitope Awolusi, Samuel Gboyega Arowolo, Paul Terkumbur Adeke
Research outputs 2022 to 2026
The increasing global demand for pavement infrastructure has intensified the consumption of non-renewable construction materials, particularly natural aggregates and soils, raising significant environmental and resource sustainability concerns. In response, there is a growing need to explore alternative materials that can reduce reliance on these finite resources. Mine tailings, generated in large volumes from mining operations, have emerged as a promising substitute due to their potential to enhance asphalt concrete performance while mitigating environmental impacts associated with their disposal. This study presents a comprehensive review of the application of selected mine tailings in asphalt mixtures. It critically examines their physicochemical properties …
Physical And Rheological Properties Of Bitumen Modified With Biochar, Nuha S. Mashaan, Suneth Sirinatha, Chathurika Dassanayake
Physical And Rheological Properties Of Bitumen Modified With Biochar, Nuha S. Mashaan, Suneth Sirinatha, Chathurika Dassanayake
Research outputs 2022 to 2026
The integration of biochar into asphalt binders represents a significant advancement toward global sustainability in pavement engineering. Produced through biomass pyrolysis, biochar enables the valorization of agricultural and industrial waste while reducing dependence on petroleum-derived binder constituents. This review critically synthesizes current research regarding the impact of biochar on the physical, rheological, and aging performance of bitumen. The evidence consistently shows that biochar improves binder stiffness, raises softening points, and strengthens rutting resistance at elevated temperatures, largely due to its porous microstructure and high carbon content. Biochar-modified binders also exhibit enhanced aging resistance through the adsorption of volatile light fractions. …
Thermal Management Of Heat Sinks Equipped With Internal Cooling Mechanism: A Comparison With Advanced Heat Dissipation Techniques, Saif Ullah Khalid, Muhammad Ali Nasir, Mehmet Karahan, Muhammad Saleem Khan, Furqan Jamil
Thermal Management Of Heat Sinks Equipped With Internal Cooling Mechanism: A Comparison With Advanced Heat Dissipation Techniques, Saif Ullah Khalid, Muhammad Ali Nasir, Mehmet Karahan, Muhammad Saleem Khan, Furqan Jamil
Research outputs 2022 to 2026
Thermal management devices aim to remove extra heat from heat generation devices. There are numerous ways of heat rejection from the source, including active and passive cooling. The cooling techniques may be natural or forced, and the popular tools are heat pipes, heat sinks, and heat exchangers. In this piece of literature, several heat pipe and heat sink configurations are tested, including a novel internally cooled configuration using mono and hybrid nanofluids. Among heat sinks, solid finned and hollow finned configurations are mainly compared with the state-of-the-art heat pipes and thermal management systems for broader comparisons. Solid cylindrical fins are …
Optimization-Based Energy Management Of A Standalone Hybrid Power Plant Using A Hybrid Iheo–Pso Metaheuristic Framework, Muhammad Zeeshan Tariq, Asma Aziz, Barun K. Das
Optimization-Based Energy Management Of A Standalone Hybrid Power Plant Using A Hybrid Iheo–Pso Metaheuristic Framework, Muhammad Zeeshan Tariq, Asma Aziz, Barun K. Das
Research outputs 2022 to 2026
The current study combines solar photovoltaic (PV) power, energy storage batteries and wind power to propose a novel and effective method for energy management and optimisation of hybrid renewable energy systems. Optimising the management and coordination of many energy sources is becoming essential, as the world moves towards sustainable energy choices. This study seeks to improve system performance, reliability and operating costs, using a unique hybrid control and power management paradigm, the Improved Human Evolutionary Optimisation (IHEO) algorithm, presented as a novel optimisation method that balances energy flow, generation, storage and consumption. This study shows that the proposed model greatly …
Electrification Of Australian Remote Communities Through Degradation-Aware Techno-Economic And Environmental Optimization Of Sustainable Vehicle-To-Home Enabled Hybrid Renewable Energy Systems, Tushar Kanti Roy, Barun K. Das, Md Apel Mahmud
Electrification Of Australian Remote Communities Through Degradation-Aware Techno-Economic And Environmental Optimization Of Sustainable Vehicle-To-Home Enabled Hybrid Renewable Energy Systems, Tushar Kanti Roy, Barun K. Das, Md Apel Mahmud
Research outputs 2022 to 2026
The integration of hybrid renewable energy systems (HRES) with vehicle-to-home (V2H) capabilities presents a promising pathway to achieve sustainable electrification in remote communities. This work presents an innovative energy management system (EMS) in which a multi-objective optimization problem is formulated to simultaneously minimize net present cost (NPC), lifecycle CO2 emissions, and loss of power supply probability (LPSP). Three configuration-specific objective functions are proposed where these configurations include (i) off-grid photovoltaic (PV)–wind turbine (WT)–battery energy storage system (BESS)–diesel generator (DG), (ii) on-grid PV–WT–BESS–Grid, and (iii) off-grid PV–WT–BESS–DG with V2H. The EMS integrates mixed-integer linear programming (MILP) for degradation-aware deterministic dispatch, sequential …
Recent Advances In Thermal Performance Improvement Of Parabolic Trough Solar Collectors Using Magnetic Nanofluids And Supercritical Carbon Dioxide Fluid, Taha Baig, Syeda Laraib Tariq, Furqan Jamil, Qamar Abbas, Hassan Bin Shahid, Hafiz Muhammad Ali
Recent Advances In Thermal Performance Improvement Of Parabolic Trough Solar Collectors Using Magnetic Nanofluids And Supercritical Carbon Dioxide Fluid, Taha Baig, Syeda Laraib Tariq, Furqan Jamil, Qamar Abbas, Hassan Bin Shahid, Hafiz Muhammad Ali
Research outputs 2022 to 2026
Among various available types of sustainable energy sources, the role of solar energy is vital due to its safety and low cost. Multiple rigs have been designed to use solar energy to generate steam, where the parabolic trough solar collector (PTSC) is a prominent example. Numerous numerical and experimental studies have been conducted to date to improve the thermal effectiveness of PTSCs. These studies include using hybrid nanofluids, insert types, magnetic nanofluids and supercritical carbon dioxide. The current paper provides a review of these studies, including an in-depth discussion section, an account of remaining challenges, and suggestions for future directions. …
Spatiotemporal Assessment Of Water Quality Around Western Australian Central Business District Using Satellite Multispectral Imaging, Muhammad Hassnain, Cameron Veal, Muhammad Rizwan Azhar
Spatiotemporal Assessment Of Water Quality Around Western Australian Central Business District Using Satellite Multispectral Imaging, Muhammad Hassnain, Cameron Veal, Muhammad Rizwan Azhar
Research outputs 2022 to 2026
Monitoring urban surface waters requires methods that preserve spatial detail while capturing seasonal and interannual variability. Multispectral satellite remote sensing provides a scalable complement to conventional field and laboratory monitoring across rivers, wetlands, lakes and coastal receiving waters. This study used Sentinel-2 Level-2A imagery processed through the Pixxel Aurora workflow to map a model-based water quality index (WQI) for the Swan-Canning River system, adjacent urban lakes and nearby coastal waters around Perth, Western Australia, from 2018 to 2025. Of 150 candidate images, 96 monthly WQI maps were accepted after software-based cloud correction, area-of-interest coverage checks and visual quality review. Satellite-derived …
A Novel Mesoscopic Modelling Approach For Steel Fibre-Reinforced Concrete: Investigating The Effects Of Fibre Alignment On Flexural Performance, Ayman Mansour, Themelina Paraskeva, Nuha S. Mashaan
A Novel Mesoscopic Modelling Approach For Steel Fibre-Reinforced Concrete: Investigating The Effects Of Fibre Alignment On Flexural Performance, Ayman Mansour, Themelina Paraskeva, Nuha S. Mashaan
Research outputs 2022 to 2026
Traditional finite element modelling of Steel Fibre-Reinforced Concrete (SFRC) relies on homogenised macroscopic models that overlook localised effects such as fibre orientation. Although three-dimensional (3D) mesoscopic frameworks for SFRC have been developed, direct comparisons with homogenised macroscopic models under the EN 14651 flexural test configuration remain limited, particularly for variations in fibre orientations. Consequently, a comparative evaluation is essential to assess the mesoscopic model under EN 14651 conditions. To address this, this work introduces a 3D tensor-controlled mesoscopic modelling approach for SFRC that explicitly simulates individual fibres with random and preferential alignment, offering a more realistic representation of fibre bridging …
Advances In Particle-Reinforced High-Entropy Alloys: Preparation, Particle Characterization, Properties, And Prospects, Yu Zhuo Bai, Bai Xin Dong, Hong Yu Yang, Feng Qiu, Shi Li Shu, Qi Chuan Jiang, Liang Yu Chen, Lai Chang Zhang
Advances In Particle-Reinforced High-Entropy Alloys: Preparation, Particle Characterization, Properties, And Prospects, Yu Zhuo Bai, Bai Xin Dong, Hong Yu Yang, Feng Qiu, Shi Li Shu, Qi Chuan Jiang, Liang Yu Chen, Lai Chang Zhang
Research outputs 2022 to 2026
High-entropy alloys (HEAs) have received substantial attention due to their unique multi-element chemistry and excellent combination of properties, but further enhancement in properties is often required for demanding applications. Particle reinforcement has emerged as a promising approach to strengthen HEAs and tailor their behavior. This article provides a comprehensive overview of the recent progress in particle-reinforced HEAs, covering in-situ precipitation of particles and ex-situ introduction of reinforcements. It reviews a range of synthesis strategies including powder metallurgy and laser-based additive manufacturing. This article also compares their effectiveness in controlling microstructure, particle dispersion, densification, and scalability. The effects of various reinforcement …
Which Factors Are Most Important For Understanding Neighborhood-Scale Electrification Transitions In New York City, And How Do These Factors Interact Within Urban Energy Systems?, Aaryan Nair
Publications and Research
Building electrification has emerged as a central strategy for reducing greenhouse gas emissions from urban areas, yet its implementation remains uneven across cities due to differences in buildings, infrastructure, and local conditions. This literature review examines the factors that influence neighborhood-scale electrification transitions in New York City and explores how these factors interact within urban energy systems. Drawing on research from building science, energy systems, infrastructure planning, and sustainability transitions, the paper identifies five recurring categories of influence: building characteristics, demand characteristics, infrastructure conditions, planning and investment capacity, and socioeconomic conditions. The review finds that building age, typology, density, and …
Using Clustering Techniques And Mitre Att&Ck Threat Interpretation To Detect Anomalies In Modbus/Tcp For Industrial Control Systems, Shivanjali Khare, Tirthankar Ghosh, Jhansi Sreya Jagarapu, Atharva Haridas Sagare
Using Clustering Techniques And Mitre Att&Ck Threat Interpretation To Detect Anomalies In Modbus/Tcp For Industrial Control Systems, Shivanjali Khare, Tirthankar Ghosh, Jhansi Sreya Jagarapu, Atharva Haridas Sagare
Journal of Cybersecurity Education, Research and Practice
Recent attacks on America's critical infrastructure have drawn increased attention on securing industrial control systems and operational technology in power plants, utility companies, and other sectors providing public services. Attack detection and mitigation strategies on these systems have shown promising results using machine learning and other statistical baselining techniques, mostly using supervised learning and classification. Unsupervised learning using cluster analysis and other techniques remain mostly unexplored. In this paper, we propose multi-layered feature extraction and hybrid clustering framework to detect fine-grained nested attack patterns in Modbus-over-TCP traffic. Operating under the assumption of known number of distinct network categories, our approach …
The Sliding Aperture Transform: A Mathematical Method Applied To Radiation-Induced Dlts Capacitance Transients, Md Abu Bakkar Siddique
The Sliding Aperture Transform: A Mathematical Method Applied To Radiation-Induced Dlts Capacitance Transients, Md Abu Bakkar Siddique
Graduate Masters Theses
This thesis presents the Sliding Aperture Transform (SLAPt), a novel mathematical technique for extracting exponential argument and pre-factor from experimental data. The method transforms measured waveforms into an inverse-domain representation where exponential decay processes appear as distinct peaks, simplifying data analysis and reducing the effects of baseline offsets and noise. The technique is here applied to time dependent capacitance transients associated with irradiated and non-irradiated silicon pn junction diodes. The technique is further developed and applied to positive argument exponentials using an axillary function. This allows forward bias current-voltage measurements, and forward pulse-bias current transient measurements to be SLAP analyzed, …
How Do Governments Combat Jihad Online?, Noah Cook
How Do Governments Combat Jihad Online?, Noah Cook
Honors College Theses
Since the September 11th, 2001 attacks, jihadist groups like ISIS, al-Qaeda, and al-Shabaab have used the internet as a tool for recruitment, radicalization, and propaganda dissemination. Since then, governments, non-governmental organizations, and private companies have developed strategies to combat jihadism on the internet. This paper examines how these actors have worked to mitigate the digital jihadist footprint and its effects by analyzing three main approaches to countering violent Islamist extremism on the internet: counter narrative initiatives, awareness-raising programs, and content removals. This paper finds that each of these methods has its own strengths and weaknesses. Counter narrative campaigns show the …
Determination Of The Content Of Water-Soluble Vitamins In The Composition Of Beet Beetroot Composition, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, Muhammad Rasul Oglu Najafli, Doston Ishmuhammat Ugli Samandarov
Determination Of The Content Of Water-Soluble Vitamins In The Composition Of Beet Beetroot Composition, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, Muhammad Rasul Oglu Najafli, Doston Ishmuhammat Ugli Samandarov
Chemical Technology, Control and Management
The aim of this study was to determine the content of water-soluble vitamins in various parts of beetroot (pulp, leaves and stems) that had been subjected to various drying methods in a bid to explore the effect of physical processes, i.e., the application of ultrasound, on micronutrient preservation. The experiments were performed at the Department of Service Technologies of Tashkent State Technical University, and chromatographic analysis was performed in the Institute of Bioorganic Chemistry of the Academy of Sciences of the Republic of Uzbekistan. Chromatography was performed on Agilent-1200 chromatograph with Exlipse XDB C18 column and diode array detector using …
Modeling Of A Two-Stage Extractive Distillation Process For The Separation Of 1,3-Butadiene From Pyrolysis-Derived C₄ Fractions, Muxriddin Xudoyor Og‘Li Ibodullayev, Jonibek Farxod O‘G‘Li Norqulov, Olim Rustamovich Abduraxmonov, Orifjon Sharipovich Kodirov
Modeling Of A Two-Stage Extractive Distillation Process For The Separation Of 1,3-Butadiene From Pyrolysis-Derived C₄ Fractions, Muxriddin Xudoyor Og‘Li Ibodullayev, Jonibek Farxod O‘G‘Li Norqulov, Olim Rustamovich Abduraxmonov, Orifjon Sharipovich Kodirov
Chemical Technology, Control and Management
The separation of 1,3-butadiene from pyrolysis-derived C₄ fractions represents a challenging task due to the multicomponent nature of the feed and the close boiling points of accompanying hydrocarbons. In this study, a two-stage extractive distillation process was investigated using an acetonitrile–water solvent system to address these challenges. A semi-industrial experimental unit consisting of two extractive distillation columns connected in series was developed and analyzed, and the process configuration was supported by Aspen Plus simulation. The feedstock composition was characterized in detail, revealing that 1,3-butadiene constitutes approximately 40 wt.% of the C₄ fraction, accompanied by significant amounts of propylene, butanes, butanes, …
Methods For Treating Wastewater Generated During The Production Of Basalt Fiber Using Modified Bentonite Clay, Abdurasul O'Ktamovich Husenov, Baxtiyor Toxtayevich Sabirov, Diyor Asadullayevich Xadjibayev
Methods For Treating Wastewater Generated During The Production Of Basalt Fiber Using Modified Bentonite Clay, Abdurasul O'Ktamovich Husenov, Baxtiyor Toxtayevich Sabirov, Diyor Asadullayevich Xadjibayev
Chemical Technology, Control and Management
This scientific article notes that in technological processes, wastewater is contaminated with various organic and mineral substances, including poisonous and toxic substances. Sources of environmental pollution include organic and inorganic substances formed during the production of basalt fiber. In this research work, the task is set to purify wastewater formed during the production of basalt fiber from organic substances. Bentonite clay is a very good natural sorbent and has the ability to purify some cations. When conducting laboratory experiments, bentonite clays from the "Azkamar" and "Navbahor" deposits were selected to purify wastewater formed during the production of basalt fiber from …
Mathematical Models Of Magnetoelastic Acceleration Transducers Developed Based On The Theory Of Lumped Parameter Circuits, Amirov Fayzullayevich Sulton, Kamila Kamilovna Jurayeva, Shovkat Dilshodovich Turayev
Mathematical Models Of Magnetoelastic Acceleration Transducers Developed Based On The Theory Of Lumped Parameter Circuits, Amirov Fayzullayevich Sulton, Kamila Kamilovna Jurayeva, Shovkat Dilshodovich Turayev
Chemical Technology, Control and Management
In this article, based on the theory of lumped-parameter circuits, algebraic and differential equations describing the mechanical, electrical, and magnetic circuits of new magnetoelastic acceleration transducers, their analytical solutions, as well as mathematical models establishing the relationship between the electromotive forces at the outputs of the transducers and acceleration, which is the input quantity of the transducer, have been developed. Analysis of these mathematical models and the graphs constructed on their basis shows that under the influence of acceleration applied to the transducers, with an increase in the mechanical stresses arising in the magnetic circuit of the transducer, a redistribution …
Optimal Procedure For Measuring The Parameters Of Optical Signals Considering Noise, Yuriy Gennadyevich Shipulin, Azimjon Mamadaliyevich Xusanov
Optimal Procedure For Measuring The Parameters Of Optical Signals Considering Noise, Yuriy Gennadyevich Shipulin, Azimjon Mamadaliyevich Xusanov
Chemical Technology, Control and Management
It has been shown that to achieve the required level of measurement accuracy and reliability, it is necessary to transition from quality control of finished products to quality management based on cost-effective methods during the stages when product properties are formed. It is shown that the complexity of measuring optical signal parameters during analysis or synthesis requires them to be considered as part of a general information processing system. Based on the nonlinear filtration method, an optimal procedure for measuring a variable position in time against a background of spatial noise was obtained. Structural diagrams of optimal measuring instruments for …
Development And Uncertainty Assessment Of Secondary Method For Ph Measurement In Physicochemical Measurements, Sarvar Rakhmatullaev, Dostonbek Xujakulov, Mohinur Nigmatova
Development And Uncertainty Assessment Of Secondary Method For Ph Measurement In Physicochemical Measurements, Sarvar Rakhmatullaev, Dostonbek Xujakulov, Mohinur Nigmatova
Chemical Technology, Control and Management
In physicochemical measurements across various industries, laboratory analyses commonly require the determination of pH as an indicator of hydrogen ion activity in aqueous solutions. Ensuring the accuracy and reliability of these measurements, obtaining precise readings from pH measuring instruments, and maintaining overall measurement quality represent critical challenges in guaranteeing the safety of both products and processes. This requires constant monitoring, accuracy assessment, calibration, metrological verification, and control of measuring instruments. In this case, it should be carried out not with solutions prepared in any laboratory, but with certified reference materials (СRM) with appropriate regulatory framework, ensuring metrological observation. …
Robust-Adaptive Estimation Of Unmeasurable States And External Disturbances Of A Dynamic Object Based On An Augmented Kalman Filter, Husan Igamberdiev, Uktam Farkhodovich Mamirov, Lu Liu, Bohong Wang, Bunyod Buronov
Robust-Adaptive Estimation Of Unmeasurable States And External Disturbances Of A Dynamic Object Based On An Augmented Kalman Filter, Husan Igamberdiev, Uktam Farkhodovich Mamirov, Lu Liu, Bohong Wang, Bunyod Buronov
Chemical Technology, Control and Management
The paper addresses the problem of joint estimation of the directly unmeasurable states of a dynamic object and of external disturbances when information is available only on the control inputs and on the measured output signals. To solve this problem, a robust-adaptive algorithm based on an augmented Kalman filter is proposed, in which the external disturbance is included in the extended state vector. Two operating modes of the algorithm are considered. For slowly varying disturbances, a random-walk model with a constant process-noise covariance is used, whereas for rapidly varying inputs a signal adaptation driven by the normalized innovation is proposed. …
Fast Algorithms For Combined Synthesis Of Dynamic Object Control Systems, Isomiddin Khakimovich Siddikov, Gulchexra Alimova
Fast Algorithms For Combined Synthesis Of Dynamic Object Control Systems, Isomiddin Khakimovich Siddikov, Gulchexra Alimova
Chemical Technology, Control and Management
The paper considers the issues of combined synthesis of a control system for a nonlinear dynamic object. The combined synthesis algorithms are based on the hybrid application of the theory of ordinary differential equations in the Cauchy form and the theory of automatic control. In this case, the dynamics of the control system are described in the input-output representation and by state-space equations. Algorithms for solving stabilization problems, finite control, and the inverse dynamics problem are presented in explicit form. These algorithms are based on the concept of reducibility of a general Cauchy-form system to the block-canonical Frobenius form. The …
Analysis Of The Throttle Settings Under Uncertain Information, Latafat Gardashova, Nihad Afandi
Analysis Of The Throttle Settings Under Uncertain Information, Latafat Gardashova, Nihad Afandi
Chemical Technology, Control and Management
Although classical fuzzy logic controllers are capable of modelling non-linear control systems, they fail to consider the reliability of linguistic information, sensor measurements, and expert knowledge. In this paper, an intelligent controller based on the use of Z-numbers is developed for steam-turbine throttle control. Linguistic information and its confidence degree are considered simultaneously in such a controller. The temperature and pressure values are taken as input variables, while the throttle rotation is selected as the controller output variable. At first, the Z-number representation system is constructed to include the credibility of linguistic measurements and control rules. Then, a Mamdani Type-1 …
Nonlinear System Identification Based On Fuzzy Radial Basis Neural Network With Multi-Connected Weight Connections, Kabul Khudaybergenov
Nonlinear System Identification Based On Fuzzy Radial Basis Neural Network With Multi-Connected Weight Connections, Kabul Khudaybergenov
Chemical Technology, Control and Management
This paper builds on our earlier radial basis function network with multiple connections (RBFMC) by placing it within a fuzzy inference framework for nonlinear system identification. The idea is inspired by the diversity of neurotransmitters found in biological neurons: instead of a single hidden-to-output weight, RBFMC gives each hidden unit a multi-dimensional connection whose components act as independent filters. Once fuzzy logic is added, each hidden neuron becomes a fuzzy rule, and its antecedent is built from several Gaussian membership functions, one per connection. The resulting Fuzzy RBFMC produces an interpretable, multi-filter description of local regions of the input space …
Performance Evaluation Of Controllers Using Fuzzy Delphi And Ahp Techniques, Kamala. R. Aliyeva, Nihad Mehdiyev, Shamil Mehdi
Performance Evaluation Of Controllers Using Fuzzy Delphi And Ahp Techniques, Kamala. R. Aliyeva, Nihad Mehdiyev, Shamil Mehdi
Chemical Technology, Control and Management
This study introduces an enhanced decision-support framework that integrates the Fuzzy Delphi method with the Analytic Hierarchy Process (AHP) to improve controller tuning and performance evaluation in uncertain environments. Traditional tuning techniques typically depend on crisp expert judgments and deterministic performance indices; however, industrial control systems are characterized by nonlinear behaviors, uncertain parameter variations, and subjective expert evaluations that are often vague or inconsistent. The Fuzzy Delphi procedure is applied to systematically gather, filter, and consolidate expert insights, enabling a refined set of performance criteria such as stability margins, robustness to disturbances, settling time, overshoot, control effort, and energy consumption …
Documentation And Project Change Management System – Honeywell Trace, Farukh Adilov, N.R Yusupbekov, Maksim Fedorovich Astafurov, Kamola Rustamovna Abdullayeva
Documentation And Project Change Management System – Honeywell Trace, Farukh Adilov, N.R Yusupbekov, Maksim Fedorovich Astafurov, Kamola Rustamovna Abdullayeva
Chemical Technology, Control and Management
The article examines modern approaches to organizing documentation and managing changes in industrial automation projects using the Honeywell Trace software platform. The evolution of documentation tools from the Documentation Tool utility within the TDC 2000/3000 system to modern intelligent solutions is described. The architecture, functional capabilities, and supported interfaces of Honeywell Trace are analyzed. Particular attention is paid to automated configuration change tracking, comprehensive search by process tags, and the detection of potential errors. The possibilities of integrating the system with industrial process control systems, controllers, auxiliary systems, and industrial communication protocols are considered. The application of Honeywell Trace during …
Early Detection Of Alzheimer’S Disease Using Federated Learning Based On Personalized Gans: A Data-Driven Approach, Iffat Fatima, Uzair Iqbal, Uzair Ishtiaq, Muhammad Burhan Ul Islam Khan
Early Detection Of Alzheimer’S Disease Using Federated Learning Based On Personalized Gans: A Data-Driven Approach, Iffat Fatima, Uzair Iqbal, Uzair Ishtiaq, Muhammad Burhan Ul Islam Khan
Makara Journal of Technology
Alzheimer’s disease (AD) is a complicated neurodegenerative disease marked by the slow worsening of memory and cognitive functions. Early detection is a key to effective disease management, but the creation of reliable machine learning models is not an easy task because medical data are limited, and there are strict privacy requirements, such as GDPR and HIPAA, that inhibit the creation of central databases. In this paper, a new privacy-saving model that combines personalized federated learning (PFL) with generative adversarial networks (GANs) is proposed to diagnose Alzheimer’s disease. Under the proposed method, the synthesis of data using GAN is conducted on …
Neural Network Driven By Electrochemical Performance Data For Predicting The Discharge Termination Time Of Seawater Electrolyte-Based Metal-Air Batteries, Peng-Peng Shen, Yi-Chi Pan, Yu-Rong Liu, Lu-Dan Zhang, Ning Niu, Guan-Jun Wang, De-Kun Yang, Xin-Long Tian, Peng Rao
Neural Network Driven By Electrochemical Performance Data For Predicting The Discharge Termination Time Of Seawater Electrolyte-Based Metal-Air Batteries, Peng-Peng Shen, Yi-Chi Pan, Yu-Rong Liu, Lu-Dan Zhang, Ning Niu, Guan-Jun Wang, De-Kun Yang, Xin-Long Tian, Peng Rao
Journal of Electrochemistry
Seawater electrolyte-based metal-air batteries exhibit great promise for marine energy supply systems. However, conventional statistical analysis methods, though applicable to seawater metal-air battery lifetime prediction, have inherent limitations of insufficient prediction accuracy and large error. Herein, a deep time-series regression framework based on InceptionTime and incorporating prior-biased attention pooling is proposed to construct a nonlinear mapping between electrochemical performance sequences and the discharge termination time of catalysts. Specifically, chronoamperometric profiles are employed to extract long-term stability features, while prior knowledge derived from linear sweep voltammetry is introduced to strengthen the attention weighting over critical potential regions. Under a nested leave-one-catalyst-out …
Microwave-Assisted Synthesis Of Core-Shell Structured Pd@Pdptcufe Recessed Truncated Octahedral Nanocrystals For Multifunctional Electrocatalysis, De-Zhong Hu, Wen-Dan Jiang, Wei Keat Ng, Jun Yang, Xiong-Wu Kang
Microwave-Assisted Synthesis Of Core-Shell Structured Pd@Pdptcufe Recessed Truncated Octahedral Nanocrystals For Multifunctional Electrocatalysis, De-Zhong Hu, Wen-Dan Jiang, Wei Keat Ng, Jun Yang, Xiong-Wu Kang
Journal of Electrochemistry
Developing cost-efficient and durable multifunctional electrocatalysts of hydrogen evolution reaction, oxygen reduction reaction and oxygen evolution reaction is crucial for improving energy conversion efficiency in electrolytic water splitting electrolyzer and advancing rechargeable zinc-air batteries. Polyhedral shaped nanocrystals with well-defined crystal facets represent a type of model catalysts that enables the exploration of structure-activity relationships. However, it is still very challenging to prepare alloy nanocrystals with multiple metal components due to their complicated redox potentials and mixing enthalpy. Herein, we report a rapid microwave-assisted polyol reduction method for syntheses of core-shell Pd@PdPtCu, Pd@PdPtCuNi, Pd@PdPtCuCo and Pd@PdPtCuZn octahedral nanocrystals, and recessed truncated-octahedral …