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48th International Symposium on Mathematical Foundations of Computer Science, MFCS 2023

作者： Rong, Guozhen Yang, Yongjie Li, Wenjun Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology China Chair of Economic Theory Saarland University Saarbrücken Germany

ISBN: (纸本)9783959772921

We study the partial search order problem (PSOP) proposed recently by Scheffler [WG 2022]. Given a graph G together with a partial order on the set of vertices of G, this problem determines if there is an S-ordering that is consistent with the given partial order, where S is a graph search paradigm like BFS, DFS, etc. This problem naturally generalizes the end-vertex problem which has received much attention over the past few years. It also generalizes the so-called F-tree recognition problem which has just been studied in the literature recently. Our main contribution is a polynomial-time dynamic programming algorithm for the PSOP of the maximum cardinality search (MCS) restricted to chordal graphs. This resolves one of the most intriguing open questions left in the work of Scheffler [WG 2022]. To obtain our result, we propose the notion of layer structure and study numerous related structural properties which might be of independent interest. © Guozhen Rong, Yongjie Yang, and Wenjun Li

关键词： Dynamic programming

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Synthesis and application of single-atom catalysts in sulfur cathode for high-performance lithium–sulfur batteries

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Chinese Chemical Letters 2023年第1期34卷 73-83页

作者： Yingjie Miao Yufan Zheng Feng Tao Zhijun Chen Yi Xiong Fengzhang Ren Yong Liu Provincial and Ministerial Co-Construction of Collaborative Innovation Center for Non-Ferrous Metal New Materials and Advanced Processing Technology Henan Key Laboratory of Non-Ferrous Materials Science and Processing TechnologySchool of Materials Science and EngineeringHenan University of Science and TechnologyLuoyang 471023China School of Intelligent Manufacturing Ecosystem Xi’an Jiaotong–Liverpool UniversitySuzhou 215123China Luoyang Bearing Research Institute Co. Ltd.Luoyang 471039China

Lithium–sulfur(Li-S)batteries are regarded as one of the most promising energy storage devices because of their low cost,high energy density,and environmental ***,Li-S batteries suffer from sluggish reaction kinetics and serious“shuttle effect”of lithium polysulfides(LiPSs),which causes rapid decay of battery capacity and prevent their practical *** address these problems,introducing single-atom catalysts(SACs)is an effective method to improve the electrochemical performance of Li-S batteries,due to their high catalytic efficiency and definite active sites for *** this paper,we summarized the latest developments in enhancing the electrochemical performance of cathode for Li-S batteries through introducing different ***,we briefly introduced the catalytic mechanism of SACs and discussed the strategies of synthesizing SACs,including the spatial confinement strategy and the coordination design ***,the challenges and prospects in this field are *** believe that this review would help to design and fabricate high-performance Li-S batteries via introducing SACs and boost their practical application.

关键词： Single-atom catalysts Lithium-sulfur batteries Sulfur cathode Synthesis and application Polysulfide conversion Shuttle effect

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Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent Systems with Dead Zone and Sensor Faults 42

Adaptive Neural Consensus Tracking Control for Nonlinear Mul...

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42nd Chinese Control Conference, CCC 2023

作者： Huang, Chengjie Chen, Ci Liu, Zhi Li, Zhenni Guangdong University of Technology Guangzhou510006 China Guangdong Key Laboratory of IoT Information Technology Guangzhou510006 China 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9789887581543

In this paper, an adaptive neural tracking control design is investigated for uncertain multiagent systems (MASs) with actuator dead zone and sensor faults. The adaptive control technique based on neural networks is employed to handle the uncertainty in the systems, which, however, results in a bounded tracking error from most existing works. To achieve the asymptotic tracking performance, we proposed a direct adaptive strategy via the tuning function method. Technically, a Lyapunov function with a series of smooth functions is designed, which benefits proposing of an asymptotic controller. Then, under the framework of direct adaptive control, an inverse compensation scheme, as well as a fault-tolerant mechanism, are considered for disposing of the actuator dead zone and sensor failures. As a result, user-preset tracking performance is achieved and the system error in the MASs converges to a predefined range. An example in the simulation section illustrates the effectiveness of the proposed method. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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One-step preparation of modified photothermal-driven melamine foam with gradient wettability for oil-waterseparation

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Frontiers of Materials Science 2024年第3期18卷 71-82页

作者： Mengdan Jia Mei-Chen Lin Hai-Tao Ren Bing-Chiuan Shiu Ching-Wen Lou Zhi-Ke Wang Li-Yan Liu Ting-Ting Li Innovation Platform of Intelligent and Energy-Saving Textiles School of Textile Science and EngineeringTiangongUniversityTianjin 300387China Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials Tiangong UniversityTianjin 300387China Department of Biomedical Engineering College of Biomedical EngineeringChina Medical UniversityTaichung 404333China College of Material and Chemical Engineering Minjiang UniversityFuzhou 350108China Department of Bioinformatics and Medical Engineering AsiaUniversityTaichung 413305China Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung 404333China Advanced Medical Care and Protection Technology Research Center College of Textile and ClothingQingdaoUniversityQingdao 266071China Department of Textile and Clothing Shandong Vocational College of Science and TechnologyWeifang 261053China

The absorption of high-viscosity oil by traditional oil absorbing materials has always been a *** there is an urgent need to solve the problem of slow absorption of high-viscosity *** this work,an emulsion composed of polydimethylsiloxane(PDMS),carbon black(CB)and waterborne polyurethane(solid content 40%)was sprayed on the melamine foam(MF).After volatilization of organic solvents,the photothermal material CB was fixed on the MF framework,making it *** raising the temperature of the modified foam to accelerate the internal thermal movement of high-viscosity oil molecules around the foam,intermolecular forces are reduced,thereby accelerating the separation *** absorption capacity of this modified MF towards organic solvents and oil is up to 79 times its own *** addition,the mechanical properties of the modified foam are improved to a certain extent,more conducive to the continuous oil-water *** photothermal absorption material provides ideas for the rapid removal of high-viscosity oil,heavy oil,etc.

关键词： photothermal high-viscosity oil oil-water separation

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Gait Planning and Motion Control Based on Vrep Simulation for Quadruped Robot 5

Gait Planning and Motion Control Based on Vrep Simulation fo...

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5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023

作者： Zhou, Linqi Chen, Zhihua Liu, Jun Liu, Zhi Chen, Yumeng Zhang, Liting Nanchang Hangkong University Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Moe Key Lab of Nondestructive Testing Technology Nanchang330063 China Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing100081 China

ISBN: (纸本)9798350307320

Gait planning of quadruped robots plays an important role in achieving less walking, including dynamic and static gait. In this article, a static and dynamic gait control method based on center of gravity stability margin is proposed. Firstly, the robot model and kinematics modeling are introduced. Secondly, the robot's foot static and dynamic gait were planned and the foot trajectory was designed. Finally, two types of gait of the robot were simulated using Vrep simulation software, and the differences in stability and speed between the coordinated gait with speed and stability in the static and dynamic gait of a 12 degree of freedom robot were analyzed, verifying the effectiveness of the gait control method proposed in this paper. © 2023 IEEE.

关键词： Robot programming

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Surpass Teacher: Enlightenment Structured Knowledge Distillation of Transformer

Surpass Teacher: Enlightenment Structured Knowledge Distilla...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Yang, Ran Deng, Chunhua School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan430065 China

ISBN: (纸本)9798350337020

It is difficult to train a trustworthy transformer model on a small image classification dataset. This research proposes a sophisticated structured knowledge distillation algorithm that uses CNNs as Transformer's sophisticated teachers, significantly lowering the number of training datasets needed. To better to develop the potential for CNN tutors, this research configures a public data set for CNN teaching as an enlightenment textbook to guide Transformer's training and avoid falling into local optimization prematurely. The distillation process then employs a 'learn-digest-self-distillation' learning strategy to enable the Transformer to assimilate CNN knowledge in a structured manner. Sufficient experiments show that the proposed method is significantly better than the direct training Transformer under the condition of limited data sets. Moreover, in order to show the practical application value, this research contributed a practical data set for the classification of smoking and calling. The corresponding code and dataset will be released at https://***/wustdch/surpass-teacher if this paper is accepted. © 2023 IEEE.

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Durable and Wearable Self-powered Temperature Sensor Based on Self-healing Thermoelectric Fiber by Coaxial Wet Spinning Strategy for Fire Safety of Firefighting Clothing

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Advanced Fiber Materials 2024年第5期6卷 1387-1401页

作者： Qing Jiang Yuhang Wan Yi Qin Xueru Qu Mi Zhou Siqi Huo Xiaochun Wang Zhicai Yu Hualing He State Key Laboratory of New Textile Materials and Advanced Processing Technologies Hubei Key Laboratory of Biomass Fibers and Eco-dyeing&FinishingSchool of Textile Science and EngineeringWuhan Textile UniversityWuhan 430200China Centre for Future Materials University of Southern QueenslandSpringfield Central 4300Australia School of Materials Design and Engineering Beijing Institute of Fashion TechnologyBeijing 100029China

Self-healable electronics with self-recoverable mechanical properties show a lot of potential in improving the reliability and durability of wearable electronic devices,but it is still ***,a self-healing core-sheath thermoelectric(TE)fiber-based temperature sensor was continuously fabricated by coaxial wet-spinning strategy,whose core layer and sheath layer are,respectively,pure Ti_(3)C_(2)T_(x)MXene and self-healing silk sericin(SS)/oxide sodium alginate(OSA)*** prepared SS/OSA@MXene core-sheath TE fiber exhibits accurate temperature-sensing at 200-400℃based on a linear relationship between TE voltage and temperature *** core-sheath TE fiber that can be integrated into firefighting clothing and timely alert firefighters to evacuate from the fire before the protective clothing becomes *** exposed to flames,SS/OSA@MXene can rapidly trigger a high-temperature warning voltage of 3.36 mV within 1.17 s and exhibit reversible high-temperature alarm *** addition,the fractured SS/OSA@MXene can restore up to 89.12%of its original strain limit at room temperature because of the robust yet reversible dynamic covalent bonds between SS and *** this study,an ingenious strategy for developing a durable and wearable TE fiber-based self-powered temperature sensor was *** strategy has promising application prospects in real-time temperature detection of firefighting clothing to ensure the safety of firefighters operating on a fire scene.

关键词： Core-sheath thermoelectric fiber Self-powered sensor High-temperature warning Self-healing Coaxial wet spinning

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A HYBRID RECOMMENDATION ALGORITHM BASED ON USER CHARACTERISTICS

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2022年第2期84卷 251-266页

作者： Yu, Hong-Zhi Zhu, Deng-Yun Wan, Fu-Cheng Wu, Tian-Tian Ning, Ma Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou730030 China Key Laboratory of China's Ethnic Languages and Intelligent Processing of Gansu Province Northwest Minzu University Lanzhou730030 China

Shop recommendation system is an important part of the e-commerce recommendation system. Shop recommendation system in this paper mainly consist of three steps. First, constructed matrix decomposition module and deep network module for tackling scores data and comment data, and then connected two modules by weight factor, trained by the same loss function, at last the comprehensive score is output by scoring prediction, analyzing fusion factor for the effect of algorithm through the preprocessed text and the parameter setup fusion model. Each experiment adopts the five-fold crossover verification method, and the prediction accuracy of this algorithm compared with other five different algorithms. Experimental results verify that the UFFSR algorithm can effectively improve the accuracy of prediction scoring and alleviate the data sparsity and cold start problems to a certain extent. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Forecasting

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Wind farm combination forecasting model based on dynamic graph attention 8

Wind farm combination forecasting model based on dynamic gra...

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8th International Conference on Electronic technology and Information Science, ICETIS 2023

作者： Liao, Xuechao Cheng, Yiqun School of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial Systems Hubei Wuhan430065 China

ISBN: (纸本)9781510666535

In recent years, wind power has become more and more important in the energy component. In order to improve the prediction accuracy of wind farms and help management and scheduling, a multi-site short-term wind power spatiotemporal combination forecasting model based on dynamic graph convolution and graph attention is proposed. Firstly, graph convolution is used to realize neighbor aggregation of temporal features between multiple sites, and the graph attention mechanism is used to enhance its ability to extract spatial features. At the same time, in view of the problem that the traditional model cannot deal with the real-time change of graph node correlation, the adjacency matrix is dynamically constructed according to the correlation coefficient and distance between nodes in the graph convolution process. Finally, the Gated Recurrent Unit is used to process the context information of dynamic graph convolution output to complete the prediction of wind power. The experimental results show that the proposed combined model is optimal in the aspects of prediction accuracy, stability and multi-step prediction performance. © 2023 SPIE.

关键词： Convolution

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Sharing of Encrypted Lock keys in the Blockchain-Based Renting House System from Time- and Identity-Based Proxy Reencryption

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China Communications 2022年第5期19卷 164-177页

作者： Zhiwei Wang Liping Qian Danwei Chen Guozi sun School of Computer Nanjing University of Posts and TelecommunicationsNanjing 210023China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing 210023China Guangxi Key Laboratory of Cryptography and Information Security Department of Computer SciencesGuilin University of Electronic TechnologyGuilin 541004China

To design an efficient protocol for sharing the encrypted lock keys in the renting house system,we introduce a new notion called time-and identitybased proxy reencryption(TIPRE)and the blockchain *** CPA secure TIPRE scheme is constructed from Green et al.’s identity-based proxy reencryption scheme by adding the time *** every time period,a time stamp authority generates a public key embedded with the current time stamp for each *** our protocol for the renting house system,the TIPRE scheme is the primary building block,and the blockchain platform serves instead of a trusted third party,such as a real estate agency between landlords and *** TIPRE scheme allows the landlord to change the lock key at each time period for *** blockchain platform allows the landlords and tenants to directly interact,and all of the interactions are recorded in the blockchain database to provide the desired security requirements,such as nonrepudiation and ***,we provide the secure analysis of our protocol and test its performance by implementing it in the MacBook Pro and the Intel Edison development platforms.

关键词： identity-based proxy reencryption time stamp renting houses system blockchain

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