Article
Engineering, Mechanical
Jimei Li, Feng Ding
Summary: This paper constructs a kernel function-based nonlinear system by introducing the multi-model control strategy to accurately reflect the dynamic quality of nonlinear systems. It focuses on the parameter estimation problem and proposes two recursive identification algorithms. The effectiveness of the proposed methods is demonstrated through numerical testing.
NONLINEAR DYNAMICS
(2021)
Article
Computer Science, Information Systems
Pablo Pancardo, Jose Adan Hernandez-Nolasco, Miguel A. Wister, Matias Garcia-Constantino
Summary: Traditional fuzzy systems have limitations in reflecting the dynamics of real-time contexts, leading to the proposal of a context-based fuzzy system with dynamic membership functions that can adjust the model in real time based on contextual variables, making it more aligned with reality.
Article
Computer Science, Artificial Intelligence
Fang Liu, Jie Yang, Witold Pedrycz, Wei Wu
Summary: This article presents a novel contribution-degree-based spiking neural network (CDSNN) that combines ideas of spiking neural network (SNN) and fuzzy set theory. Experimental results show that CDSNN achieves improved performance in terms of accuracy, generalization, and other performance measures.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Md. Sharif Uddin, Musa Miah, Md. Al-Amin Khan, Ali AlArjani
Summary: This paper proposes a fuzzy membership function tactic based on goal programming to solve multi-objective transportation problems in uncertain environments, allowing decision makers to choose confidence levels for different parameters and determine feasibility and satisfaction levels through compromise solutions.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Automation & Control Systems
Shengnan Tian, Kang-Zhi Liu, Manli Zhang, Chengda Lu, Luefeng Chen, Min Wu, Jinhua She
Summary: This paper focuses on the disturbance rejection problem of T-S fuzzy systems. By utilizing membership function-dependent Lyapunov functions, less conservative stabilisation conditions are derived to improve disturbance rejection performance. A controller configuration consisting of membership function-dependent state observer, equivalent-input-disturbance estimator, and internal model is proposed, and explicit switching rules and design conditions for control gains are obtained. Simulations demonstrate the effectiveness of the developed method, which is validated by comparison with conventional methods.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Operations Research & Management Science
Sumati Mahajan, S. K. Gupta
Summary: Intuitionistic fuzzy set theory is a generalized version of classical fuzzy set theory. In this study, a balanced transportation problem with multiple objectives is formulated with all parameters and variables as intuitionistic fuzzy numbers. The algorithm proposed uses different membership functions to handle intuitionistic fuzzy constraints and various theorems are established to show the relations among different problems.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Sebastian Porebski
Summary: This paper proposes a novel technique called EasIeR for linguistic rule extraction, which focuses on improving the explainability and reliability of decision support systems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Jianhua Dai, Ping Tan, Xing Yang, Lin Xiao, Lei Jia, Yongjun He
Summary: This paper proposes a new type of fuzzy adaptive ZNN model to solve the problem of time-variant linear matrix equations. The model demonstrates convergence and adaptability, and is able to achieve accelerated convergence to the theoretical solution within a finite time.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Automation & Control Systems
Wen-Bo Xie, Jian Zhang, Yi-Fan Li, Reinaldo M. Palhares
Summary: This paper proposes a new stability synthesis method for solving the state feedback stabilization problem of a class of T-S fuzzy systems. The method reduces conservatism in the analysis process by approximating and transforming polynomials, and utilizes membership functions for stability analysis.
Article
Engineering, Environmental
Wanli Guo, Ge Chen, Junjie Wang, Fuxian Jian
Summary: The plastic potential and yield functions are vital components of elastoplastic constitutive models. This study proposes a unified function to define the yield and plastic potential surfaces for rockfills, and experimental results validate the reasonableness of this function.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Biochemical Research Methods
Chao Shen, Ye Hu, Zhe Wang, Xujun Zhang, Jinping Pang, Gaoang Wang, Haiyang Zhong, Lei Xu, Dongsheng Cao, Tingjun Hou
Summary: The study found that most generic machine learning-based scoring functions perform poorly in virtual screening and may not be suitable for real virtual screening activities.
Only a few exceptions, such as RFscore-VS trained on specific datasets, showed superiority for most targets.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Automation & Control Systems
Pedro H. S. Coutinho, Iury Bessa, Wen-Bo Xie, Anh-Tu Nguyen, Reinaldo Martinez Palhares
Summary: This article proposes a novel nonlinear unknown input observer (UIO) that effectively decouples unknown inputs in state estimation. By handling the error dynamics and gradient, a local polytopic representation suitable for input-affine nonlinear systems is obtained, and a design condition based on convex optimization and linear matrix inequalities is proposed to stabilize the estimation error and ensure the effectiveness of the observer.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Alexander Aleksandrov, Denis Efimov, Sergey Dashkovskiy
Summary: This paper investigates several designs of Lyapunov functions for two canonical models of mechanical systems with disturbances presented by Rayleigh- and Lienard-type equations. The existence of these functions implies global or local input-to-state stability property for the systems, under given restrictions. The proposed stability conditions are constructive, as demonstrated in applications.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Mathematics
Xiao-Diao Chen, Cheng Qian, Ping Zhu, Xianghui Pan
Summary: This paper presents a family of functions used to approximate the inverse tangent function asymptotically. It shows that the new inequalities can achieve better approximation performance than prevailing methods, as demonstrated by numerical examples.
REVISTA DE LA REAL ACADEMIA DE CIENCIAS EXACTAS FISICAS Y NATURALES SERIE A-MATEMATICAS
(2022)
Article
Computer Science, Theory & Methods
Jozsef Dombi, Petra Renata Rigo
Summary: We propose a new idea of using logical expressions over inequalities to create membership functions. By introducing multidimensional membership functions, we can incorporate more variables instead of just one. This new approach is applied to different types of feasibility problems and serves as a useful tool in describing various feasibility regions. Moreover, we present algorithms that can handle linear, nonlinear, convex, and non-convex feasibility problems.
FUZZY SETS AND SYSTEMS
(2023)
Article
Environmental Sciences
Ch Venkata Reddy, Raghava Reddy Kakarla, Bai Cheolho, Jaesool Shim, Mashallah Rezakazemi, Tejraj M. Aminabhavi
Summary: In this study, pure and transition metal ions (Cu)-doped V2O5 nanosheets were synthesized and investigated as photocatalysts for the degradation of organic pollutants. The doped nanosheets showed improved efficiency for degrading methyl blue and rhodamine B under visible light. The incorporation of Cu dopant ions improved catalytic efficacy by separating charge carriers and facilitating their movement. The smaller crystalline size and increased specific surface area of the doped nanosheets also enhanced their photocatalytic activity.
Article
Engineering, Environmental
Mahdi Sheikh, Hossein Riasat Harami, Mashallah Rezakazemi, Cesar Valderrama, Jose Luis Cortina, Tejraj M. Aminabhavi
Summary: In the worldwide context, traditional wastewater treatment technologies face challenges in removing ammonia (NH3) from municipal/domestic wastewater, which is vital for a sustainable nitrogen cycle. The focus on climate change has led to the pursuit of scientific solutions in NH3 production to reduce carbon footprint. Membrane Hybrid Systems (MHS), as sustainable alternatives, can effectively remove/recover valuable resources and generate revenue, facilitating the transition towards advanced treatment plants in the circular economy. This comprehensive review discusses the factors affecting NH3 recovery from wastewater and the development of membrane hybrid technologies in terms of economic viability, sustainability, and technical feasibility.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
M. Sheikh, J. Lopez, M. Reig, X. Vecino, M. Rezakazemi, C. A. Valderrama, J. L. Cortina
Summary: This study evaluated the integration of ion exchange-natural activated clinoptilolite zeolite (IEX-NZ) and hollow-fibre liquid-liquid membrane contactor (HF-LLMC) for ammonia recovery from treated urban wastewaters. The process is based on NaOH closed-loop process to ensure the extracted concentration of ammonia from the loaded zeolites and enhance the transport of NH3 through the HF-LLMC. A 1-D model was developed to describe the time evolution of NH3 concentration during the recovery process and to analyze the operational parameters to maximize the concentration of the recovered ammonium salts.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Automation & Control Systems
Mohammad Amin Kazemi, Mary Pa, Mohammad Nasir Uddin, Mashallah Rezakazemi
Summary: This paper presents an ANFIS approach for recovering missing velocity vectors in fluid flow measurements. The ANFIS is applied to estimate velocity field data and predict fluid patterns within masked regions. It is also used to capture small features in fluid flow by removing vortices behind obstacles. The ANFIS algorithm outperforms ANN and 2D cubic interpolation algorithms in accurately predicting velocity vectors.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Polymer Science
Elahe Ahmadi Feijani, Mashallah Rezakazemi
Summary: In this study, a comprehensive model named Takayanagi is proposed to describe the gas performance of tubular filler contained mixed matrix membrane (MMMs) by considering interfacial morphology. The model includes interphase thickness, interphase permeability, and percolation threshold concept to accurately describe the MMM performance. It can also estimate the maximum separation potential of tubular filler. Polyvinylidene fluoride based MMMs containing pristine and acid modified multiwalled carbon nanotube are fabricated and characterized to validate the proposed model. The interphase morphology and contribution of carbon nanotubes in gas permeability are interpreted in details by the model.
JOURNAL OF APPLIED POLYMER SCIENCE
(2023)
Article
Environmental Sciences
Hina Mukhtar, Nehar Ullah, Mohammad Younas, Nadeem Feroze, Najaf Ali, Ali Fatehizadeh, Mashallah Rezakazemi
Summary: In this study, agricultural waste CC and RH were torrefied to produce porous carbon-enriched biofuels with high surface area and pore volume. The resulting biofuels showed improved conversion rate and energy density, leading to lower transportation costs.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Review
Chemistry, Multidisciplinary
Jiayu Wu, Tianyue Chen, Shengbo Ge, Wei Fan, Hui Wang, Zhongfeng Zhang, Eric Lichtfouse, Thuan Van Tran, Rock Keey Liew, Mashallah Rezakazemi, Runzhou Huang
Summary: In the context of the circular economy and decreasing earth resources, waste can be converted into valuable carbon quantum dots with promising applications in sensing, biological imaging, energy storage, and photocatalysis. This review focuses on the synthesis, performance-controlling factors, properties, and applications of carbon quantum dots, including energy storage, renewable energy, pollutant sensing and degradation, drug delivery, biosensing, and bioimaging.
ENVIRONMENTAL CHEMISTRY LETTERS
(2023)
Article
Environmental Sciences
Waqad Ul Mulk, Mansoor Ul Hassan Shah, Syed Nasir Shah, Qi-Jun Zhang, Asim Laeeq Khan, Mahdi Sheikh, Mohammad Younas, Mashallah Rezakazemi
Summary: The main obstacles in adopting solvent-based CO2 capture technology from power plant flue gases at the industrial scale can be overcome using new green and more stable ionic liquids as solvents. In this study, phosphonium chloride-based ILs immobilized on hydrophobic porous supports were tested for CO2 permeability and selectivity, with PTFE support-based SILM performing the best. This research suggests that phosphonium chloride-based ILs could be better solvent candidates for CO2 removal from large volumes of flue gases.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Vempuluru Navakoteswara Rao, Pasupuleti Kedhareswara Sairam, Moon-Deock Kim, Mashallah Rezakazemi, Tejraj M. Aminabhavi, Chi Won Ahn, Jun-Mo Yang
Summary: In order to reduce environmental pollution and carbon-based gas emissions, photocatalytic hydrogen production and sensing applications at ambient temperature are crucial. This research focuses on developing new 0D/1D materials based on TiO2 nanoparticles grown onto CdS hetersturctured nanorods through a two-stage synthesis process. The optimized nanohybrid showed excellent stability and a high photocatalytic hydrogen production rate. Furthermore, the nanomaterial exhibited superior gas sensing performance for NO2 detection at room temperature, with increased sensitivity when activated by UV light. Overall, the 1D/0D CdS@TiO2 material proved to be efficient for both hydrogen production and gas detection.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Energy & Fuels
Hiwa Abdlla Maarof, Mohammad Shamsi, Mohammad Younas, Mashallah Rezakazemi
Summary: In this study, a model based on a SAH was developed to enhance air turbulence and improve the thermal performance of a solar collector. Validation experiments were conducted to confirm the accuracy of the model. Ray tracing and FEM simulation techniques were used to analyze the optical and thermal properties of the system. The study found that non-flat plate surfaces contribute to wall-induced turbulence and affect air temperatures.
Article
Multidisciplinary Sciences
Yan Cao, Ali Taghvaie Nakhjiri, Shahin Sarkar
Summary: This paper presents a simulated flowsheet model of a waste tire pyrolysis process using Aspen Plus simulation package. The results show that there is an optimum temperature of 500 degrees C for obtaining the highest amount of limonene in the pyrolysis process. A sensitivity analysis was also conducted to investigate the effect of altering the heating fuel on the production of non-condensable gases. Furthermore, optimization of the distillation column parameters in the product separation unit was performed.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Yan Cao, Ali Taghvaie Nakhjiri, Shaheen M. Sarkar, Mahdi Ghadiri
Summary: In this research study, the goal was to minimize the pressure drop and maximize the Nusselt number in a coiled heat exchanger using a water-based nanofluid with alumina and silver nanoparticles. Artificial neural network (ANN) was used to predict the pressure drop and Nusselt number based on the nanoparticles volume fraction and Reynolds number. The obtained correlations were found to be accurate, and the values for R, mean error, and STD were evaluated. The optimal values for Nusselt number and pressure drop were determined using the NSGA-II optimization algorithm.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Samaneh Mashhadikhan, Reyhane Ahmadi, Abtin Ebadi Amooghin, Hamidreza Sanaeepur, Tejraj M. Aminabhavi, Mashallah Rezakazemi
Summary: This review paper explores the chemistry and applications of high-temperature polymers used as membranes for wastewater treatment and water recycling. It emphasizes the importance of thermally stable polymer membranes in purifying wastewater at elevated temperatures and summarizes recent advances in membrane fabrication techniques.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Environmental Sciences
Hossein Molavi, Kamyar Mirzaei, Erfan Jafarpour, Ali Mohammadi, Mohammad Sepehr Salimi, Mashallah Rezakazemi, Megha M. Nadagouda, Tejraj M. Aminabhavi
Summary: Nanodiamonds (NDs) are carbon-based nanoparticles with high surface area, chemical stability, and unique adsorption properties, making them promising for wastewater treatment. This review highlights the application of NDs in adsorption, photocatalytic degradation, and membrane separation, emphasizing their potential, challenges, and future directions in the field.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Engineering, Environmental
Mahdi Sheikh, Victor Valles, Cesar Valderrama, Jose Luis Cortina, Mashallah Rezakazemi
Summary: This study conducted experiments using natural clinoptilolite zeolite (NZ) to investigate the sorption and desorption processes of ammonium (NH4+) in residual effluents. The results showed that NZ had good sorption and desorption capabilities for NH4+ removal and recovery. The study has practical significance for effective treatment of wastewater containing ammonium.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)