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Computing, robotics and System Sciences (ICRSS), International Conference on

作者： Mixuan Deng Pengju Tang Yanxia Gao Huixuan Li Guodong Zhen Kaifeng Fu Xiaotian Wu College of Computer and Artificial Intelligence(Software College) Huaihua University Huaihua China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua China

ISBN: (数字)9798331511296

ISBN: (纸本)9798331511302

As a unique local dialect, Waxiang dialect carries rich regional culture and historical information. However, with the acceleration of modernization and the increase of population mobility, the inheritance and protection of Waxiang dialect are facing severe challenges. By constructing the ‘Xuewatong’ APP- Waxiang dialect digital protection platform, based on cloud storage technology, digital resource display, multimedia integration and other technologies, and providing learning resources through big data analysis of user needs, it can effectively promote the digital recording and preservation of Waxiang dialect language resources, and significantly improve the dissemination and educational effect of Waxiang dialect culture, showing the great potential of digital technology in dialect protection.

关键词： Technological innovation Cloud computing Transfer learning Media Information age Digital recording Global communication Cultural differences Protection robots

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A Dynamic Routing Strategy for Hybrid Power Communication Networks 23

A Dynamic Routing Strategy for Hybrid Power Communication Ne...

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23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Qi, Zengqing Xiao, Jingpeng Xu, Zhiqiang State Grid Research Institute of Hunan Province Economics and Technology China Hunan Economy Institute Electric Power Design Co. Ltd. China Hunan Engineering Research Center of Large-scale Battery Energy Storage Application Technology China Hunan Key Laboratory of Energy Internet Supply-demand and Operation China

ISBN: (纸本)9781665494571

With the rapid development of smart grid, the business data generated during production and management will exceed the load balancing capability of the grid, and the reliability of the network will also be affected. To address the issues in hybrid power communication networks, this paper proposes and implements a dynamic routing scheme to meet the requirements of different service data, which can be recorded in the IP header of packets. At the access side, the data packets then can be delivered over different paths by comparing their requirements with the performance that the current condition of networks can support. In this paper, the network performance is some type of statistical proof of historical packets. The test results show that the strategy can not only effectively achieve load balance between the 5G public network and the power private network itself, but also improve the end-to-end transmission performance. © 2021 IEEE.

关键词： Protocols 5G mobile communication Smart cities Heuristic algorithms Routing Hybrid power systems Smart grids

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The Scalable and High Performance Polyimide Dielectrics Containing Alicyclic Structures for High-Temperature Capacitive Energy Storage

SSRN

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SSRN 2023年

作者： Yu, Shiqi Zhou, Jinlong Xu, Ao Lao, Junjie Luo, Hang Chen, Sheng Key Laboratory of Polymeric Materials and Application Technology of Hunan Province College of Chemistry Xiangtan University Hunan Province Xiangtan411105 China Binzhou Institute of Technology Weiqiao-UCAS Science and Technology Park Shandong Province Binzhou256606 China State Key Laboratory of Powder Metallurgy Central South University Hunan Changsha410083 China

Polyimide (PI) dielectrics have attracted much attention in the field of film capacitor because of outstanding high temperature resistance, well film-forming and mechanical property. However, high conductive loss leads to the low energy density and efficiency at elevated temperatures, which is caused by the conjugation effect of benzene ring on the main chain of PI. In order to solve this problem, a semi-aromatic PI with alicyclic structure is designed and prepared. Compared with the all-aromatic PI (Kapton), the semi-aromatic PI exhibit much higher discharge energy density (Ud) and efficiency (η) at room temperature and high temperature. In particular, at the classical operating condition, i.e. 200 MV m-1 and 150 °C, the Ud (0.78 J cm-3) nearly twice that of BOPP (0.4 J cm-3) and the η of 95% were achieved in the semi-aromatic PI. Based on the experimental data, the concept of charge transfer complex and simulation results, alicyclic structure in the main-chain of PI not only can avoid the formation of electron channels due to staggered stack of benzene rings, but also can increase the bandgap width, resulting in the increment of breakdown strength and the decrement of conductive loss. This work demonstrates that the semi-aromatic PI dielectrics containing alicyclic structure is ideal energy storage materials used in the extreme condition. © 2023, The Authors. All rights reserved.

关键词： Polyimides

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Review on helium behaviors in nanochannel tungsten film

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Tungsten 2021年第4期3卷 369-381页

作者： Wen-Jing Qin Wei Guo Tao Cheng Jun Tang Chang-Zhong Jiang Feng Ren Key Laboratory for Matter Microstructure and Function of Hunan Province Synergetic Innovation Center for Quantum Effects and ApplicationSchool of Physics and ElectronicsHunan Normal UniversityChangsha 410081China Center for Ion Beam Application and Center for Electron Microscopy School of Physics and TechnologyWuhan UniversityWuhan 430072China

Tungsten(W)as plasma facing material(PFM)needs to face an unprecedented harsh environment in the fusion reactor,which puts forward high requirements for its radiation *** the many challenges,the rapid accumulation of helium(He)atoms to form numerous bubbles or even“fuzzy”nanostructure leads to swelling and embrittlement of W matrix and seriously shorten its service life,which is one of the most serious problems faced by PFM-W at *** this review,we summarize the recent works on the nanochannel W films with high surface-to-volume ratio deposited by magnetron sputter-ing,and the behaviors of He in the nanochannel W films at different fusion-related irradiation *** and simulation results showed that the nanochannel W films have better radiation tolerance performance in managing He behaviors than that of commercial bulk W.

关键词： Tungsten Nanochannel structure He behaviors Radiation tolerance Simulation

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High Rate and Long Lifespan Sodium‑Organic Batteries Using Pseudocapacitive Porphyrin Complexes‑Based Cathode

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Nano-Micro Letters 2021年第5期13卷 1-16页

作者： Xi Chen Xin Feng Bo Ren Liangzhu Jiang Hongbo Shu Xiukang Yang Zhi Chen Xiujuan Sun Enhui Liu Ping Gao Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education Key Laboratory for Green Organic Synthesis and Application of Hunan ProvinceCollege of ChemistryXiangtan UniversityXiangtan 411105People’s Republic of China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale OptoelectronicsCollege of Chemistry and Enviromental EngineeringShenzhen UniversityShenzhen 518060People’s Republic of China

Sodium-organic batteries utilizing natural abundance of sodium element and renewable active materials gain great attentions for grid-scale ***,the development is still limited by lack of suitable organic cathode materials with high electronic conductivity that can be operated stably in liquid ***,we present 5,15-bis(ethynyl)-10,20-diphenylporphyrin(DEPP)and[5,15-bis(ethynyl)-10,20-diphenylporphinato]copper(II)(CuDEPP)as new cathodes for extremely stable sodium-organic *** copper(II)ion partially contributes the charge storage and significantly stabilizes the structure of porphyrin complex for electrochemical energy *** situ electrochemical stabilization of organic cathode with a lower charging current density was identified which enables both improved high energy density and power *** excellent longterm cycling stability up to 600 cycles and an extremely high power density of 28 kW kg−1 were achieved for porphyrin-based *** observation would open new pathway for developing highly stable sodium-organic cathode for electrochemical energy storage.

关键词： Organic cathode Sodium-organic batteries Porphyrin complex Rechargeable batteries Pseudocapacitive effect

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Boosting triplet self-trapped exciton emission in Te(IV)-doped Cs_(2)SnCl_(6) perovskite variants

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Nano Research 2021年第5期14卷 1551-1558页

作者： Ruosheng Zeng Kun Bai Qilin Wei Tong Chang Jun Yan Bao Ke Jialuo Huang Liushun Wang Weichang Zhou Sheng Cao Jialong Zhao Bingsuo Zou School of Physical Science and Technology MOE Key Laboratory of New Processing Technology for Non-ferrous Metals and MaterialsGuangxi Key Laboratory of Processing for Non-ferrous Metals and Featured MaterialsGuangxi UniversityNanning530004China School of Materials Science and Engineering Guilin University of Electronic TechnologyGuilin541004China School of Physics and Electronics Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of Ministry of EducationKey Laboratory for Matter Microstructure and Function of Hunan ProvinceSynergetic Innovation Center for Quantum Effects and ApplicationHunan Normal UniversityChangsha410081China

Perovskite variants have attracted wide interest because of the lead-free nature and strong self-trapped exciton (STE) emission. Divalent Sn(II) in CsSnX3 perovskites is easily oxidized to tetravalent Sn(IV), and the resulted Cs2SnCl6 vacancy-ordered perovskite variant exhibits poor photoluminescence property although it has a direct band gap. Controllable doping is an effective strategy to regulate the optical properties of Cs2SnX6. Herein, combining the first principles calculation and spectral analysis, we attempted to understand the luminescence mechanism of Te4+-doped Cs2SnCl6 lead-free perovskite variants. The chemical potential and defect formation energy are calculated to confirm theoretically the feasible substitutability of tetravalent Te4+ ions in Cs2SnCl6 lattices for the Sn-site. Through analysis of the absorption, emission/excitation, and time-resolved photoluminescence (PL) spectroscopy, the intense green-yellow emission in Te4+:Cs2SnCl6 was considered to originate from the triplet Te(IV) ion 3P1→1S0 STE recombination. Temperature-dependent PL spectra demonstrated the strong electron-phonon coupling that inducing an evident lattice distortion to produce STEs. We further calculated the electronic band structure and molecular orbital levels to reveal the underlying photophysical process. These results will shed light on the doping modulated luminescence properties in stable lead-free Cs2MX6 vacancy-ordered perovskite variants and be helpful to understand the optical properties and physical processes of doped perovskite variants.

关键词： Cs_(2)SnCl_(6)perovskite variants equivalent ion doping self-trapped exciton(STE)emission electron-phonon coupling first principles calculation

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Constitutive Model and Plate Forging Ability of 5052 Aluminum Alloy Under Different Temperatures 13th

Constitutive Model and Plate Forging Ability of 5052 Aluminu...

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13th International Conference on the technology of Plasticity, ICTP 2021

作者： Li, Yantao Dong, Wenzheng Lin, Qiquan Wang, Zhigang Key Laboratory of Robot and Application Technology of Hunan Province Xiangtan University Xiangtan China State Key Laboratory of Materials Processing and Die and Mould Technology Huazhong University of Science and Technology Wuhan China Department of Mechanical and System Engineering Gifu University Gifu Japan

ISBN: (纸本)9783030753801

The hot tensile deformation behavior of 5052 aluminum alloy is investigated by uniaxial tensile tests with the temperature range of 523–723 K and strain rate range of 0.001–0.1 s−1. The constitutive equation is established based on the Arrhenius-type equation and Zener–Hollomon parameters, which are applied to numerical simulation for solid boss forming by plate forging process. As a result, the flow stresses obtained from the constitutive equation are consistent with the experiments, and the proposed constitutive equation is succeeded to predict the deformation behavior in the plate forging process. The best forming temperature for boss solid forming is 673 K based on the boss forming ability analysis. © 2021, The Minerals, Metals & Materials Society.

关键词： Constitutive equations

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Prediction of chilling damage risk in maize growth period based on probabilistic neural network approach

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International Journal of Agricultural and Biological Engineering 2021年第2期14卷 120-125页

作者： Chunqiao Mi Changhua Zhao Qingyou Deng Xiaowu Deng School of Computer Science and Engineering Huaihua UniversityHuaihua 418000HunanChina Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture Huaihua 418000HunanChina Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua 418000HunanChina Human Resource Department Huaihua UniversityHuaihua 418000HunanChina

Low temperature chilling damage is one of the most serious disasters in maize production,which is a typical non-linear complex issue with numerous influencing factors and strong *** to predict it is not only a hot theoretical research topic,but also an urgent practical problem to be ***,most of the current researches are focusing on post-disaster static descriptive assessment rather than pre-disaster dynamic predictive analysis,resulting in the problems such as no indicative result and low *** this study,the satisfaction rate of environmental accumulated temperature for maize production was used to measure the chilling damage risk,and a model for maize chilling damage risk prediction based on probabilistic neural network was *** model was composed of input layer,pattern layer,summation layer and output *** obtained results showed that the prediction accuracy for the most serious risk level was as high as 0.91,and the rates of the Type I Error and Type II Error made by the model were 0.1 and 0.09,*** indicated that the model employed was promising with good *** results of this research are of both theoretical significance for providing a new reference method of pre-disaster prediction to study maize chilling disaster risk and practical significance for reducing maize production risk and ensuring yield safety.

关键词： maize chilling damage risk prediction probabilistic neural network

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Personalized Learning Path Recommendation Driven by Multi-Modal Knowledge Graphs and Large Models Collaboration

Personalized Learning Path Recommendation Driven by Multi-Mo...

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Information technology, Communication Ecosystem and Management (ITCEM), International Conference on

作者： Changhua Zhao Yimei Yang Yujun Yang Bo Tang Chunqiao Mi College of Computer and Artificial Intelligence(Software College) Huaihua University Huaihua China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua Hunan China

ISBN: (数字)9798331542696

ISBN: (纸本)9798331542702

This study examines ways to create personalized learning pathways that are influenced by large collaborative models and multi-modal knowledge graphs. By integrating multi-modal data to construct a comprehensive knowledge network, this study utilizes the generative and comprehension capabilities of large models to achieve personalized customization of learning resources. The focus of the research is on accurately depicting learner characteristics through multi-modal profiling techniques, ensuring the transparency and credibility of the content generated by large models. The personalized learning route suggestion model proposed in this paper includes two parts: recommendations for learning paths within courses and recommendations for learning paths within learning tasks, aiming to enhance learning efficiency and outcomes through the collaborative effects of multi-modal knowledge graphs and large models. Experimental results indicate that the learning path recommendation model driven by multi-modal knowledge graphs and large collaborative models performs excellently in improving learning outcomes and recommendation performance.

关键词： Knowledge engineering Analytical models Accuracy Biological system modeling Education Ecosystems Collaboration Knowledge graphs Data models Information technology

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Research on Crop Disease and Pest Surveillance based on Big Data and Image Processing Technologies

Research on Crop Disease and Pest Surveillance based on Big ...

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Information technology, Communication Ecosystem and Management (ITCEM), International Conference on

作者： Yimei Yang Yujun Yang Huixia Shu Changhua Zhao Shaowei Deng College of Computer and Artificial Intelligence(Software College) Huaihua University Huaihua China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua Hunan China

ISBN: (数字)9798331542696

ISBN: (纸本)9798331542702

Recently, with the increasing complexity of agricultural systems and climate change, agricultural pest and disease surveillance and early detection have become critical tasks for guaranteeing food stability and promoting sustainable farming growth. Agricultural pest and disease surveillance is a key component of agricultural production, directly affecting crop yield and quality. As big data advances and image processing technologies rapidly, their application in crop pest and disease surveillance has become increasingly widespread. By integrating multi-source data, such as remote sensing data, meteorological data, ecological data, and pest and disease survey data, researchers can build more accurate and efficient pest and disease surveillance models. This paper reviews the research progress of big data and image processing technologies in crop pest and disease surveillance, analyzes the advantages and challenges of current technologies, and proposes future research directions to enhance the automation and intelligence of systems. Additionally, it discusses the integration of deep learning and other techniques to achieve efficient information mining and accurate retrieval of disaster-related data, aiming to provide scientific guidance and technical support for agricultural production.

关键词： Crops Plant diseases Climate change Pest control Agriculture Big Data Surveillance Image processing

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