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New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

Computers, Materials & Continua 2022年第12期73卷 4595-4609页

作者： Deepak Sukheja Javaid Ahmad Shah G.Madhu K.Sandeep Kautish Fahad A.Alghamdi Ibrahim.S.Yahia El-Sayed M.El-Kenawy Ali Wagdy Mohamed Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia Department of Mathematics Dr.APJ Abdul Kalam University Indore(M.P)India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia LBEF Campus Kathmandu44600Nepal Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Laboratory of Nano-Smart Materials for Science and Technology(LNSMST) Department of PhysicsFaculty of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Nanoscience Laboratory for Environmental and Biomedical Applications(NLEBA) Semiconductor Lab.Department of PhysicsFaculty of EducationAin Shams UniversityRoxyCairo 11757Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Sciences Engineering The American University in CairoEgypt

Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational *** this case,the fuzzification and defuzzification processes can be very *** is an effective process to get a single number from the output of a fuzzy *** defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their *** this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or ***,to find the best solution,Hurwicz criteria are used on the defuzzified ***-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy *** proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among *** significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.

关键词： Defuzzification decision-making fuzzy numbers Hurwicz multicriteria decision-making ranking order

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Bioinspired super-hydrophilic zwitterionic polymer armor combats thrombosis and infection of vascular catheters

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Bioactive Materials 2024年第7期37卷 493-504页

作者： You Ke Haotian Meng Zeyu Du Wentai Zhang Qing Ma Yuting Huang Linxian Cui Yifeng Lei Zhilu Yang Dongguan Key Laboratory of Smart Biomaterials and Regenerative Medicine The Tenth Affiliated HospitalSouthern Medical UniversityDongguanGuangdong523000China School of Materials Science and Engineering Key Lab of Advanced Technology for Materials of Education MinistrySouthwest Jiaotong UniversityChengduSichuan610031China Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu Department of CardiologyChengdu Fifth People’s Hospital(The Second Clinical Medical CollegeAffiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine)ChengduSichuan611137China The Institute of Technological Science Wuhan UniversityWuhan430072China

Thrombosis and infection are two major complications associated with central venous catheters(CVCs),which significantly contribute to morbidity and *** coating strategies currently represent an efficient approach for addressing such ***,existing antifouling coatings have limitations in terms of both duration and ***,we propose a durable zwitterionic polymer armor for *** armor is realized by pre-coating with a robust phenol-polyamine film inspired by insect sclerotization,followed by grafting of poly-2-methacryloyloxyethyl phosphorylcholine(pMPC)via in-situ radical *** resulting pMPC coating armor exhibits super-hydrophilicity,thereby forming a highly hydrated shell that effectively prevents bacterial adhesion and inhibits the adsorption and activation of fibrinogen and platelets in *** practical applications,the armored catheters significantly reduced inflammation and prevented biofilm formation in a rat subcutaneous infection model,as well as inhibited thrombus formation in a rabbit jugular vein ***,our robust zwitterionic polymer coating presents a promising solution for reducing infections and thrombosis associated with vascular catheters.

关键词： Anti-infection Antithrombosis Phenol-polyamine Super-hydrophilicity Zwitterionic polymers

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Explicit Model Predictive Control for Trajectory Tracking of Autonomous Vehicle

Explicit Model Predictive Control for Trajectory Tracking of...

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Chinese Automation Congress (CAC)

作者： Xiangkang Lai Haolong Jiang Qinyao Liu Qian Guo Xuchen Wang School of Advanced Technology Xi'an Jiaotong Liverpool University Suzhou China Department of Mechatronics and Robotics School of Advanced Technology Xi'an Jiaotong Liverpool University Suzhou China Institute of Intelligent Manufacturing and Smart Transportation Suzhou City University Suzhou China Department of Electrical and Electronic Engineering School of Advanced Technology Xi'an Jiaotong Liverpool University Suzhou China

Autonomous vehicle has been attached more and more attention since it is considered as an effective solution to transportation problems. This paper focuses on the trajectory tracking control algorithms for autonomous vehicles. To improve the computational efficiency, a constrained explicit controller with offline optimization and online search is proposed based on the original model predictive control (MPC) algorithm. The joint simulation based on the Simulink and Carsim is designed to evaluate the performance of proposed explicit controller. The results show that compared with the original MPC controller, the explicit controller can significantly reduce optimization time and achieve relatively similar tracking performance.

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Capacitor Voltage Balancing Strategy Based on Zero-Sequence Voltage Injection for Half-Wave Commutated Modular Multilevel Converter 10

Capacitor Voltage Balancing Strategy Based on Zero-Sequence ...

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10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Fu, Nan Liu, Bao Xu, Yunfei Zhu, Sitong Wang, Kui Li, Yongdong Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Changping Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang110000 China

ISBN: (纸本)9798350351330

Half-wave commutated modular multilevel converter (HWC-MMC) is suitable for high-voltage large-capacity AC-AC conversion, and an appropriate capacitor voltage balancing strategy is essential. This paper analyzes the condition of capacitor voltage balancing and proposes a capacitor voltage balancing strategy based on optimal zero-sequence voltage injection using the model predictive control. Finally, the simulation is carried out to verify the proposed strategy. © 2024 IEEE.

关键词： Model predictive control

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Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution

Effective Ambiguity Attack Against Passport-based DNN Intell...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Yiming Chen Jinyu Tian Xiangyu Chen Jiantao Zhou Department of Computer and Information Science State Key Laboratory of Internet of Things for Smart City University of Macau Faculty of Innovation Engineering Macau University of Science and Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences

Since training a deep neural network (DNN) is costly, the well-trained deep models can be regarded as valuable intellectual property (IP) assets. The IP protection associated with deep models has been receiving increasing attentions in recent years. Passport-based method, which replaces normalization layers with passport layers, has been one of the few protection solutions that are claimed to be secure against advanced attacks. In this work, we tackle the issue of evaluating the security of passport-based IP protection methods. We propose a novel and effective ambiguity attack against passport-based method, capable of successfully forging multiple valid passports with a small training dataset. This is accomplished by inserting a specially designed accessory block ahead of the passport parameters. Using less than 10% of training data, with the forged passport, the model exhibits almost indistinguishable performance difference (less than 2%) compared with that of the authorized passport. In addition, it is shown that our attack strategy can be readily generalized to attack other IP protection methods based on watermark embedding. Directions for potential remedy solutions are also given.

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Dynamic asymmetric mechanical responsive carbon nanotube fiber for ionic logic gate

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Chinese Chemical Letters 2024年第6期35卷 249-253页

作者： Pei Cao Yilan Wang Lejian Yu Miao Wang Liming Zhao Xu Hou State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005China The Higher Educational Key Laboratory for Biomedical Engineering of Fujian Province Department of BiomaterialsResearch Center of Biomedical Engineering of XiamenCollege of MaterialsXiamen UniversityXiamen 361005China Key Laboratory of Multifunctional Nanomaterials and Smart Systems Advanced Materials DivisionSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China Institute of Artificial Intelligence Xiamen UniversityXiamen 361005China Department of Physics Research Institute for Biomimetics and Soft MatterFujian Provincial Key Laboratory for Soft Functional Materials ResearchJiujiang Research InstituteCollege of Physical Science and TechnologyXiamen UniversityXiamen 361005China Engineering Research Center of Electrochemical Technologies of Ministry of Education Xiamen UniversityXiamen 361005China

Inspired by biological ion channels,numerous artificial asymmetric ion channels have been synthesized to facilitate the fabrication of ionic ***,the creation of biomimetic asymmetric ion channels necessitates expensive scientific apparatus and intricate material processing procedures,which constrains its advancement within the realm of ionic *** this study,we have devised dynamic asymmetric ion channels with mechanical responsiveness by combining polymers of varying elastic modulus along the longitudinal axis of carbon nanotube fiber(CNTF).The ion rectification can be modulated via the disparate response of CNTF-based ion channels to mechanical *** have effectively employed these asymmetric ion channels with mechanical sensitivity in the design of a logic gate device,achieving logic operations such as“AND”and“OR”.The conception of these dynamic asymmetric ion channels with mechanical sensitivity offers a straightforward,cost-effective,and versatile approach for generating ion channels,highlighting their potential application in intricate,highly integrated ionic circuits.

关键词： Carbon nanotubes fibers Mechanical response Rectification effect Ionic logic gate

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Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG

arXiv

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arXiv 2023年

作者： Fu, Peiwen Zhong, Wenjuan Zhang, Yuyang Xiong, Wenxuan Lin, Yuzhou Tai, Yanlong Meng, Lin Zhang, Mingming The Shenzhen Key Laboratory of Smart Healthcare Engineering Department of Biomedical Engineering College of Engineering Southern University of Science and Technology Shenzhen518055 China Shenzhen Institutes of Advanced Technology CAS Shenzhen518055 China Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin300192 China

Walking-assistive devices require adaptive control methods to ensure smooth transitions between various modes of locomotion. For this purpose, detecting human locomotion modes (e.g., level walking or stair ascent) in advance is crucial for improving the intelligence and transparency of such robotic systems. This study proposes Deep-STF, a unified end-to-end deep learning model designed for integrated feature extraction in spatial, temporal, and frequency dimensions from surface electromyography (sEMG) signals. Our model enables accurate and robust continuous prediction of nine locomotion modes and 15 transitions at varying prediction time intervals, ranging from 100 to 500 ms. In addition, we introduced the concept of ‘stable prediction time’ as a distinct metric to quantify prediction efficiency. This term refers to the duration during which consistent and accurate predictions of mode transitions are made, measured from the time of the fifth correct prediction to the occurrence of the critical event leading to the task transition. This distinction between stable prediction time and prediction time is vital as it underscores our focus on the precision and reliability of mode transition predictions. Experimental results showcased Deep-STP’s cutting-edge prediction performance across diverse locomotion modes and transitions, relying solely on sEMG data. When forecasting 100ms ahead, Deep-STF surpassed CNN and other machine learning techniques, achieving an outstanding average prediction accuracy of 96.48%. Even with an extended 500ms prediction horizon, accuracy only marginally decreased to 93.00%. The averaged stable prediction times for detecting next upcoming transitions spanned from 28.15 to 372.21 ms across the 100-500 ms time advances. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Sustainable Microgrids: TLBO Driven Multi Objective Optimization Modeling for Cost Effective Emission-Embedded Solution 11

Sustainable Microgrids: TLBO Driven Multi Objective Optimiza...

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11th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2024

作者： Manisha Saini, Vikash Kumar Kumari, Meena Al-Sumaiti, Ameena S. Kumar, Rajesh Uiet Maharshi Dayanand University Department of Electrical Engineering India Advanced Power and Energy Center Khalifa University Smart Or Lab Abu Dhabi United Arab Emirates University of Johannesburg Department of Artificial Intelligence South Africa Malaviya National Institute of Technology Raman Lab Department of Electrical Engineering Jaipur India

This research integrates renewable energy resources into microgrid systems to address cost, emissions, and reliability concerns. Employing multi-objective optimization, the Teaching-Learning-Based Optimization (TLBO) algorithm emerges as highly effective, achieving substantial cost and greenhouse gas reductions. TLBO showcases rapid convergence and superior performance for the proposed microgrid architecture, offering valuable insights for sustainable energy planning. The proposed microgrid architecture includes micro-turbine (MT), a solar photovoltaic (PV) system, a wind turbine (WT), and a battery energy storage system (BESS). The numerical results of the proposed system compared with load supplied by main grid. The achieved cost savings of the proposed system is 66.85 % and GHG cost savings is 67.77% compared to load supplied by grid. © 2024 IEEE.

关键词： Multiobjective optimization

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Electrically variable interfaces in polymer nanocomposite dielectrics

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Physical Review B 2024年第18期109卷 184205-184205页

作者： Wen-Zhi Luo Zhong-Hui Shen Yang Shen Long-Qing Chen Ce-Wen Nan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and Devices Wuhan University of Technology Wuhan 430070 China School of Materials and Microelectronics Wuhan University of Technology Wuhan 430070 China School of Materials Science and Engineering State Key Lab of New Ceramics and Fine Processing Tsinghua University Beijing 100084 China Department of Materials Science and Engineering The Pennsylvania State University University Park Pennsylvania 16802 United States

Polymer nanocomposites generally exhibit unexpected dielectric/electrical performance far beyond the sum of every component, which is mainly due to the interface effect induced by the differences in structures and properties between the nanofillers and the polymer matrix. However, understanding the capricious interface effect in different polymer nanocomposites remains a major challenge. Here, we perform density functional theory calculations to investigate the atomic/molecular configurations and local charge behaviors of heterogeneous interfaces between the fillers of perovskites, oxides, two-dimensional materials, and polar/nonpolar polymers. Our findings demonstrate that atomic reconfiguration takes place during the formation of the inorganic/organic interface in order to minimize the overall energy of the system. Significant charge accumulation occurs at heterogeneous interfaces due to electron redistribution, especially for the examples of HfO2 and negatively charged Ca2Nb3O10. When applying an electric field, local polarization, especially around the interface, will be distorted and enhanced as a result of interfacial interaction. Even for the nonpolar polymer with linear dielectric oxides such as TiO2, induced dipole moments also appear near the interface, leading to the improvement of overall polarizability. The outcomes of our study verify that the variable electrical behaviors at the interfaces are highly dependent on the feature of every component constituting the inorganic/organic interface, which offers valuable insights for optimizing the experimental design of heterogeneous interfaces in polymer nanocomposites.

关键词： Electric polarization Solid-solid interfaces Density functional calculations

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BioPI: An Energy Efficient and Low-Latency Neuromorphic Pipelined System With Joint Design Optimizations of Sensor-Algorithm-Processor for Wearable Healthcare

IEEE Transactions on Circuits and Systems for Artificial Int...

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IEEE Transactions on Circuits and Systems for Artificial Intelligence 2024年第1期2卷 64-78页

作者： Fengshi Tian Jinbo Chen Jiakun Zheng Hui Wu Jingyu He Xiaomeng Wang Chaoming Fang Yuan Yao Jie Yang Mohamad Sawan Chi-Ying Tsui Kwang-Ting Cheng Department of ECE The Hong Kong University of Science and Technology (HKUST) Hong Kong SAR AI Chip Center for Emerging Smart Systems (ACCESS) Hong Kong SAR Center of Excellence in Biomedical Research on Advanced Integrated-on-Chips Neurotechnologies (CenBRAIN Neurotech) School of Engineering Westlake University Hangzhou China

Extensive research has been conducted on accurate classification of bio-signals for wearable healthcare applications, such as the detection of arrhythmia. Artificial Intelligence (AI) based methods utilizing dedicated neural networks (NN) have shown potential in classifying multi-class bio-signals. However, the separate designs of processors and sensors has introduced interaction overheads in existing studies, limiting their practicality and efficiency. Furthermore, there is a lack of detailed discussion on the joint design and optimization of bio-signal sensing, NN training, and NN acceleration. To address these challenges in wearable healthcare, this work proposes an efficient and low-latency neuromorphic system, BioPI, from a joint design perspective of sensor, algorithm, and processor. Inspired by biological neural systems, BioPI employs fully-spike dataflow with a hierarchical pipelined architecture, combining a mixed-signal analog-to-spike converter (ASC) and a compact pipelined spiking neural network (SNN) processor with event-triggered power gating. A unique duplicate-merge (DM) SNN algorithm is also presented to optimize the processing of ASC generated data during inference by converting the required SNN structures from 2-D to 1-D, which reduces on-chip memory size and operation numbers for inference by 2.02x and 1.98x, respectively, measured on ECG classification task while maintaining state-of-the-art accuracy. To validate the system functionality, we built an end-to-end verification platform including a fabricated 40nm ASC chip and a FPAG implementation of the SNN processor. To evaluate the overall energy efficiency of the entire system on silicon, a complete design of BioPI is also implemented in 40nm process and post-layout simulations are conducted. In arrhythmia detection tasks using the MIT-BIH ECG dataset, BioPI achieves an overall accuracy of 97.5% in 4-class classification and an energy efficiency of 0.767uJ/classification, with a merely 12.54us

关键词： Sensors Program processors Artificial intelligence Medical services Energy efficiency Event detection Computer architecture Biosensors Accuracy System-on-chip

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