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Incomplete intuitionistic fuzzy behavioral group decision-making based on multigranulation probabilistic rough sets and MULTIMOORA for water quality inspection

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Journal of Intelligent and Fuzzy Systems 2023年第3期44卷 4537-4556页

作者： Bai, Wenhui Zhang, Chao Zhai, Yanhui Sangaiah, Arun Kumar School of Computer and Information Technology Key Lab. of Computational Intelligence and Chinese Information Processing of Ministry of Education Shanxi University Shanxi Taiyuan China International Graduate Institute of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

Water quality inspection (WQI) is one of the primary ways to ensure the safe utilization of water resources, and complicated data modeling, fusion and analysis play a significant role in seeking the resource with the best water quality. Nevertheless, the challenges of missing data, relatively large differences in decision results and bounded rationality owned by decision-makers (DMs) in terms of WQI still exist nowadays. Thus, from the aspect of stable and behavioral decision-making in multi-granularity incomplete intuitionistic fuzzy information systems (MG-IIFISs), the paper investigates a comprehensive multi-attribute group decision-making (MAGDM) approach for the application of WQI. First, the concept of MG-IIFISs is built by modeling MAGDM problems with intuitionistic fuzzy numbers (IFNs), then a new transformation scheme is constructed for transforming MG-IIFISs into multi-granularity intuitionistic fuzzy information systems (MG-IFISs) based on the similarity principle. Second, three types of multigranulation intuitionistic fuzzy probabilistic rough sets (MG IF PRSs) are developed by referring to the MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the full MULTIplicative form) method. Afterwards, attribute weights are objectively calculated based on the best-worst method (BWM), and a new stable and behavioral MAGDM approach is constructed by means of the TODIM (an acronym in Portuguese for interactive multi-criteria decision-making) method. At last, a case study in the setting of WQI is conducted with the support of a UCI data set, and sensitivity analysis, comparative analysis and experimental analysis are investigated to display the validity of the proposed approach. In general, the proposed approach improves the stability of decision results via MULTIMOORA and BWM, and also fully considers the bounded rationality of DMs' psychological behaviors from the aspect of the TODIM method, which has certain advantages in the community of MAGDM studie

关键词： Water quality

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Tunable dipole–dipole interactions between nanoparticles levitated by two orthogonally polarized optical traps

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Photonics Research 2024年第10期12卷 2139-2147页

作者： TONG LI MIAN WU PEITONG HE NAN LI ZHIMING CHEN ZHENHAI FU XIAOWEN GAO HUIZHU HU Research Center for Advanced Computational Sensing and Intelligent Processing Zhejiang LabHangzhou 310000China State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China Research Center for Frontier Fundamental Studies Zhejiang LabHangzhou 310000China

Arrays of optically levitated nanoparticles with fully tunable light-induced dipole–dipole interactions have emerged as a platform for fundamental research and sensing ***,previous experiments utilized two optical traps with identical polarization,leading to an interference ***,we demonstrate light-induced dipole–dipole interactions using two orthogonally polarized optical ***,we achieve control over the strength and polarity of the optical coupling by adjusting the polarization and propose a method to simultaneously and stably measure conservative and non-conservative coupling *** results provide a new scheme for exploring entanglement and topological phases in arrays of levitated nanoparticles.

关键词： dipole polarized conservative

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Microstructure, wear and corrosion behaviors of TC21 titanium alloy by solid powder-packing boriding and aluminizing

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Journal of Materials Research and Technology 2025年 36卷 6387-6399页

作者： Yuwei Guo Ziqiang Wang Na Li Shankai Yang Yuyu Wu Yonghua Duan Ancang Yang Lishi Ma Shanju Zheng Yunping Li Faculty of Material Science and Engineering Yunnan Key Laboratory of Integrated Computational Materials Engineering for Advanced Light Alloys Kunming University of Science and Technology Kunming 650093 China State Key Lab for Powder Metallurgy Central South University Changsha 410083 China

In this work, TC21 titanium alloy was treated using solid powder-packing infiltration method with single boriding, single aluminizing and first-stage boriding and second-stage aluminizing (B–Al). The microstructure of the infiltration layer was characterized by scanning electron microscopy, X-ray diffraction, and electron probe microanalysis. The results indicate that the B–Al layer combines the microstructural characteristics of boriding and aluminizing, consisting of an outer TiB 2 layer, dispersed TiB whiskers + Al 3 Ti layer, and a diffusion transition zone. The measured hardness, wear and corrosion behaviors show that the specimen treated with first-stage boriding and second-stage aluminizing has high surface hardness, good wear resistance, and great corrosion resistance. Finally, the corrosion mechanism was also discussed.

关键词： TC21 alloy Boriding Aluminizing Boriding and aluminizing Wear behavior Corrosion behavior

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Fast exact leverage score sampling from khatri-rao products with applications to tensor decomposition 23

Fast exact leverage score sampling from khatri-rao products ...

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Proceedings of the 37th International Conference on Neural Information Processing Systems

作者： Vivek Bharadwaj Osman Asif Malik Riley Murray Laura Grigori Aydin Buluç James Demmel Electrical Engineering and Computer Science Department UC Berkeley and Computational Research Division Lawrence Berkeley National Lab Computational Research Division Lawrence Berkeley National Lab International Computer Science Institute and Computational Research Division Lawrence Berkeley National Lab and Electrical Engineering and Computer Science Department UC Berkeley Institute of Mathematics EPFL & Lab for Simulation and Modelling Paul Scherrer Institute Computational Research Division Lawrence Berkeley National Lab and Electrical Engineering and Computer Science Department UC Berkeley Electrical Engineering and Computer Science Department UC Berkeley

We present a data structure to randomly sample rows from the Khatri-Rao product of several matrices according to the exact distribution of its leverage scores. Our proposed sampler draws each row in time logarithmic in the height of the Khatri-Rao product and quadratic in its column count, with persistent space overhead at most the size of the input matrices. As a result, it tractably draws samples even when the matrices forming the Khatri-Rao product have tens of millions of rows each. When used to sketch the linear least squares problems arising in CANDECOMP / PARAFAC tensor decomposition, our method achieves lower asymptotic complexity per solve than recent state-of-the-art methods. Experiments on billion-scale sparse tensors validate our claims, with our algorithm achieving higher accuracy than competing methods as the decomposition rank grows.

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Assessing the Impact of Vulnerabilities on Confidentiality, Integrity, and Availability in Smart Systems 2

Assessing the Impact of Vulnerabilities on Confidentiality, ...

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2nd International Conference on Informatics, ICI 2023

作者： Minhass, Shubham Chauhan, Ritu Kaur, Harleen Amity University Amity Institute of Information Technology UP India Amity University IoT and Artificial Intelligence Lab Center for Computational Biology and Bioinformatics UP India Jamia Hamdard Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9798350343830

As Internet of Things (IoT) technologies proliferate and smart devices become more and more integrated into our daily lives and workplaces, it is becoming more and more important to address the complex issues of data security and privacy within smart homes and buildings. Even though the Internet of Things (IoT) has many benefits, such as remote control, real-time monitoring, and sophisticated security features, it also raises serious concerns about how sensitive data is protected. By examining the particular problems associated with protecting sensitive data in the IoT era and guaranteeing the continuous provision of dependable services within smart environments, this research paper seeks to close a significant knowledge gap. In order to do this, the research focuses on the complex data-centric features of smart ecosystems, including data processing, generation, and storage. This paper thoroughly examines the range of current IoT technologies, data management practices, and privacy challenges by using a qualitative research approach. It also offers a thorough examination of the privacy protections and security measures that are now in place in smart buildings and homes. This research focuses primarily on the interface between technology, security, and privacy of data. This work effectively fills in the significant research vacuum by clarifying the specific issues it seeks to solve. It provides useful advice and insights that can help individuals and organizations navigate the complex world of smart technologies, securely store their data, and realize the full potential of these game-changing advancements. © 2023 IEEE.

关键词： Sensitive data

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Early Stage Design of a mHealth Intervention for Managing Gestational Diabetes Mellitus in Bangladeshi Women 25th

Early Stage Design of a mHealth Intervention for Managing...

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25th International Conference on Human-Computer Interaction, HCII 2023

作者： Islam, Ashraful Ahmed, Eshtiak Islam, Md Rakibul EMPATHY Lab Center for Computational and Data Sciences Independent University Bangladesh Dhaka Bangladesh Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh Faculty of Information Technology and Communication Sciences Tampere University Tampere Finland Computer Science Department University of Wisconsin - Eau Claire Eau ClaireWI United States

ISBN: (纸本)9783031492112

Gestational Diabetes Mellitus (GDM) is a rising concern worldwide, particularly in low-resource countries such as Bangladesh, where access to healthcare facilities is limited and awareness of GDM management is inadequate. This work proposes an early-stage design of user interfaces (UIs) for a mobile health (mHealth) intervention using the Bengali language that allows users to input daily measures of blood glucose, weight, and other GDM-related health data. The intervention is designed to provide users with personalized feedback based on their input and the necessary coaching for managing GDM. It also reminds users to take medication if prescribed by their doctors. The app has six key features: blood glucose tracking, food logging, medication reminders, activity tracking, educational resources, and personalized recommendations. Overall, this work provides a valuable contribution to the field of mHealth-based maternal and child health in Bangladesh. However, further research is necessary to evaluate the effectiveness and feasibility of the intervention in real-world scenarios. Such evaluations will provide valuable insights into its potential impact and help refine the design to better serve the needs of GDM patients in Bangladesh. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： mHealth

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AI Based Solution to Optimize the Fertilizer Composition in Hydroponics Agriculture 23

AI Based Solution to Optimize the Fertilizer Composition in ...

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15th International Conference on Machine Learning and Computing, ICMLC 2023

作者： Ekanayake, Pubudu Fernando, Subha Rodrigo, Ranga Jayasena, Sanath CODEGEN QBITS Lab University of Moratuwa Sri Lanka Department of Computational Mathematics University of Moratuwa Sri Lanka Department of Electronics and Telecommunication University of Moratuwa Sri Lanka Computer Science and Engineering University of Moratuwa Sri Lanka

ISBN: (纸本)9781450398411

Precision agriculture is one of the trending research areas in the world. AI technologies have been applied to greenhouse hydroponics agriculture (which comes under precision agriculture) to control the requirements of the plants in greenhouse agriculture. Apart from the environmental conditions such as temperature, humidity, and light intensity, the optimum combination of the fertilizer components, EC, and pH value provided during the plants' growth phase is vital to obtaining a higher yield during the harvesting period. However, finding the optimal fertilizer composition is challenging due to the fact that the required fertilizer composition is different for different plant types and the experimental cost is higher. Sparse data samples will be received in data-driven experiments because of the large search space (number of permutations) of the fertilizer combinations. This paper presents an experimental design and AI based solution to find the optimal fertilizer composition for the lettuce plants in hydroponics agriculture. Further, this paper presents preliminary ANOVA analysis results and the designed AI algorithm which is based on Bayesian Neural Network, kNN algorithm, and Particle Swarm Optimization algorithm. © 2023 ACM.

关键词： Hydroponics

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Sodium alginate-based unsteady nanofluid flow over a porous stretching surface with endothermic and exothermic reaction and bioconvection effects

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International Journal of Ambient Energy 2024年第1期45卷

作者： Ashrith, R.P. Nimmy, P. Smitha, T.V. Venkadeshwaran, K. Raman, Kumar Nagaraja, K.V. Computational Science Lab Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Bangalore India Department of Mechanical Engineering University Centre for Research & Development Chandigarh University Mohali India

The impact of nanofluid (NF) circulation under gyrotactic microorganisms and endo/exothermic chemical reactions across a permeable medium is the primary emphasis of this investigation. Sodium Alginate and Silicon dioxide are the base fluid and nanoparticle utilised here. The governing equations are reduced to a set of ODEs by employing the appropriate similarity variables. To get the numerical results, the shooting method and Runge–Kutta Fehlberg's fourth fifth order (RKF-45) are implemented. The numerical outcomes are conveyed graphically across numerous parameters. In addition, the engineering factors are analyzed and explained. It was found that the velocity profile decreased with the enhanced Casson and porous parameter values. An increment in temperature profile is experienced during exothermic reaction and is reduced for endothermic reaction and also the concentration profile got accelerated as the impact of chemical reaction parameter is upsurged. There is a significant growth in surface drag force from NF to base liquid of about 2%, rate of thermal and mass distribution of about 0.1% in context to various constraints. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Exothermic reactions

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Parametric study of Liutex-based force field models

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Journal of Hydrodynamics 2021年第1期33卷 86-92页

作者： Wei-wen Zhao Yi-qian Wang Song-tao Chen Chun-hui Ma De-cheng Wan Computational Marine Hydrodynamics Lab(CMHL) School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Mathematical Science Soochow UniversitySuzhou 215006China

The motion of fluid consists of different scales of coherent vortical *** vortical structures determine the characteristics of fluid motion and are key to understand fluid *** this paper,we study the fine control method of vortical structures based on the Liutex force field *** is achieved by constructing a source term using Liutex and directly add it to the Navier-Stokes *** investigate the influence of the constructed Liutex force model on vortical structures,a flow past a cylinder at Reynolds number of 100 is numerically studied with different source term magnitude and *** drag and lift forces on the cylinder,as well as the flow field near and behind the cylinder are compared and *** show that Liutex force model can effectively strengthen or weaken the vortical structures based on different purpose.

关键词： Liutex vector vortex dynamics vortex control

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FEniCSx-Based Effective Scheme for the Cahn-Hilliard Equation

FEniCSx-Based Effective Scheme for the Cahn-Hilliard Equatio...

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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on

作者： Harsh Bhutra Bettina Ann Thomas K Shreya Shri T.V. Smitha Nizampatnam Neelima Department of Electronics and Communication Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Computational Science Lab Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

The Cahn-Hilliard equation is a fourth-order parabolic partial differential equation that is challenging and time-intensive to solve using conventional methods. Although the equation is difficult to solve, it finds its use cases in many aspects of science including but not limited to the study of phase separation in the binary, isotropic and isothermal mixtures of materials such as molten alloys. Some of the other applications are Bioinformatics, computational Biology, Biomedical informatics, human activity recognition, Healthcare, computer vision, Climate science and Natural Language Processing. Many researchers have come up with a way to deal with partial differential equations, but very few works and methods deal with different orders of partial differential equations. In this article, a novel and effective scheme for solving the Cahn-Hilliard equation is proposed using FEniCS. The time of execution and relative tolerance of the solutions of this equation are computed from methods of direct computation and parallel processing which is carried out for the equation with higher-order finite element method for various boundary conditions to demonstrate the efficiency of the proposed approach. The solution thus obtained helps in understanding the non-linear behaviour of the equation with the help of a three-dimensional heatmap plot. This work solves the Cahn Hilliard equation by using the in-built libraries, Dolphin an open-source software called FEniCS and Message Passing Interface (MPI). The MPI is responsible for achieving parallelism in high-performance computing environments and breaks down the problem into four smaller parts making it faster to get to the solution. The obtained results demonstrate that this approach outperforms the existing literature by achieving a forty percent faster computational speed. The approach will be very useful in solving many similar problems arising in the field of science and engineering.

关键词： Heating systems Accuracy Three-dimensional displays Partial differential equations Parallel processing Boundary conditions Mathematical models Libraries computational efficiency Bioinformatics

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