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Enhancing IoT Security:Quantum-Level Resilience against Threats

Computers, Materials & Continua 2024年第1期78卷 329-356页

作者： Hosam Alhakami College of Computing Umm Al-Qura UniversityMakkahSaudi Arabia

The rapid growth of the Internet of Things(IoT)operations has necessitated the incorporation of quantum computing technologies tomeet its expanding *** integration ismotivated by the need to solve the specific issues provided by the expansion of IoT and the potential benefits that quantum computing can offer in this *** combination of IoT and quantum computing creates new privacy and security *** study examines the critical need to prevent potential security concerns from quantum computing in IoT *** investigate the incorporation of quantum computing approaches within IoT security frameworks,with a focus on developing effective security *** research,which uses quantum algorithms and cryptographic protocols,provides a unique solution to protecting sensitive information and assuring the integrity of IoT *** rigorously analyze critical quantum computing security properties,building a hierarchical framework for systematic *** offer concrete solutions flexible to diverse aswell as ambiguous opinions through using a unified computational model with analytical hierarchy process(AHP)multi-criteria decision-making(MCDM)as the technique for ordering preferences by similarity to ideal solutions(TOPSIS)in a fuzzy *** study adds practical benefit by supporting practitioners in recognizing,choosing,and prioritizing essential security factors from the standpoint of quantum *** approach is a critical step towards improving quantum-level security in IoT systems,strengthening their resilience against future threats,and preserving the IoT ecosystem’s long-term prosperity.

关键词： Quantum security quantum computing Internet of Things fuzzy decision-making

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Robustness optimization for rapid prototyping of functional artifacts based on visualized computing digital twins

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Visual Computing for Industry,Biomedicine,and Art 2023年第1期6卷 33-50页

作者： Jinghua Xu Kunqian Liu Linxuan Wang Hongshuai Guo Jiangtao Zhan Xiaojian Liu Shuyou Zhang Jianrong Tan State Key Lab of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310058China Key Lab of Advanced Manufacturing Technology of Zhejiang Province Zhejiang UniversityHangzhou 310058China Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province Zhejiang UniversityHangzhou 310058China Zhejiang-Singapore Innovation and AI Joint Research Lab Zhejiang UniversityHangzhou 310058China School of Creative Arts and design Zhejiang Institute of Mechanical and Electrical EngineeringHangzhou 310053China Ningbo Research Institute Zhejiang UniversityNingbo 315100China

This study presents a robustness optimization method for rapid prototyping(RP)of functional artifacts based on visualized computing digital twins(VCDT).A generalized multiobjective robustness optimization model for RP of scheme design prototype was first built,where thermal,structural,and multidisciplinary knowledge could be integrated for *** implement visualized computing,the membership function of fuzzy decision-making was optimized using a genetic *** thermodynamic,structural statics,and flow field analyses were conducted,especially for glass fiber composite materials,which have the characteristics of high strength,corrosion resistance,temperature resistance,dimensional stability,and electrical *** electrothermal experiment was performed by measuring the temperature and changes in temperature during *** thermographs were obtained using thermal field measurements to determine the temperature distribution.A numerical analysis of a lightweight ribbed ergonomic artifact is presented to illustrate the ***,manufacturability was verified based on a thermal-solid coupled finite element *** physical experiment and practice proved that the proposed VCDT provided a robust design paradigm for a layered RP between the steady balance of electrothermal regulation and manufacturing efficacy under hybrid uncertainties.

关键词： Robustness optimization design Rapid prototyping Functional artifacts fuzzy decision-making Infrared thermographs Visualized computing digital twins

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fuzzy Approach to Determining Priority Preorders of Water Resources Projects

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Transactions of Tianjin University 2009年第2期15卷 121-125页

作者：刘英杰冯平 School of Civil Engineering Tianjin University Civil Engineering Supervisor Center North China Institute of Water Conservancy and Hydroelectric Power

In this paper,the criteria set related to the priority preorders of water resources projects is introduced.A fuzzy multiple criteria group decision-making model is established,which incorporates quantitative analysis,judgments,experience and preferences of *** model is used in practice to determine the priority preorders of five water resources projects,and the results show that the best choice can supply more new employment,domestic water and irrigation water,and has better quality.

关键词： fuzzy decision-making priority preorders water resources projects

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fuzzy Markov chains based on the fuzzy transition probability

Fuzzy Markov chains based on the fuzzy transition probabilit...

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第26届中国控制与决策会议

作者： Guangming Li Baoxin Xiu Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology

ISBN: (纸本)9781479937097

Markov chains play an important role in the decision analysis. In the practical applications, decision-makers often need to decide in an uncertain condition which the traditional decision theory can’t deal with. In this paper, we combine Markov chains with the fuzzy sets to build a fuzzy Markov chain model using a triangle fuzzy number to denote the transition probability. A method is given to compute the n-step fuzzy transition matrix which is the key point of the model. An algorithm consisting of GA and the hill-climbing algorithm is used to compute the high-order n-step fuzzy transition matrix.

关键词： fuzzy decision-making Markov chains fuzzy number GA

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A NEW VAGUE SET ALGORITHM APPLIED ON THE THIRD PART LOGISTICS PROVIDER PREFERENCE

A NEW VAGUE SET ALGORITHM APPLIED ON THE THIRD PART LOGISTIC...

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第一届交通运输工程国际学术会议

作者： T. Y. LI and Y. CHEN School of Economy and Management, Dalian Maritime University, Dalian Liaoning 116026.China

There are a great number of uncertainties in the process of dealing with multi-objective fuzzy decision-making, and vague set has great advantages on dealing with uncertainty. By analyzing the characters of trace function and precision function and their disadvantages that it was sometime difficult in determining which scheme was better, a new multi-objective fuzzy decision-making algorithm, based on the unknown degree and uncertainty degree of vague sets, is given in this paper which was used to solve the problem of the Third Part Logistics Providers Preference. The final result of decision-making verified the efficiency and feasibility of the algorithm. The new algorithm used existent methods for reference, at the same time overcomes their disadvantages. The new algorithm was proved reasonable in this paper and was applied into searching optimal scheme, and the result showed that it was effective and feasible. This paper introduces a new effective decision-making method to solve multi-objective fuzzy decision-making problem, at the same time it broadened a new thought for vague set applied on other fields.

关键词： fuzzy decision-making fuzzy set precision function trace function vague set

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