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21st International Computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2024

作者： Yujun, Yang Yimei, Yang Wang, Zhou Liyun, Li Ling, Peng Jin, Xiang Huixia, Shu College of Computer and Artificial Intelligence Software College Huaihua University Huaihua418008 China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua418008 China School of Computer and Software Engineering Xihua University Chengdu610039 China

ISBN: (纸本)9798331519254

The wuling Mountains Area(WMA) is one of the important ecological protection areas in central China, known for its rich biodiversity and unique ecological environment. To effectively protect the species resources in this area and strengthen ecological monitoring and research, this paper proposes and designs the 'wuling Mountains Region Characteristic Species Expert Database System.' By integrating expert resources, species data, ecological environment information, and modern information technologies, an intelligent system has been developed that combines data management, expert support, species identification, and research analysis. This paper discusses in detail the system's requirements analysis, design concept, implementation technologies, and potential applications, aiming to provide technological support for biodiversity conservation and sustainable ecological development in the region. © 2024 IEEE.

关键词： Characteristic species Expert database system intelligent system Species data wuling Mountain Area

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Research and Design of Bionic Robofish for Water Quality Detection 2

Research and Design of Bionic Robofish for Water Quality Det...

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2nd International Conference on Electronic Information technology and Smart agriculture, ICEITSA 2022

作者： He, Xianjie Wang, Qingnan Gao, Kai Huaihua University School of Physical Electronics and Intelligent Manufacturing Huaihua China Huaihua University School of Intelligent Manufacturing China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture Hunan Province Huaihua China

ISBN: (纸本)9781665464017

Aiming at the inefficiency and small detection range of existing water quality detection methods, a bionic robofish based on the BeiDou system is proposed to improve the efficiency and range of water quality detection. Using the body and/or caudal fin propulsion mode (BCF) fish as the research object, the swimming principle of the bionic robofish was studied and analyzed through the mathematical model of the wave envelope curve of the fish's body. A three-joint propulsion mechanism was designed, and kinematic simulation analysis was carried out by Matlab software to realize the parametric adjustment of the motion posture of the bionic robofish, and the shape of the fish body was optimized by CFD. A hardware control system with Arduino as the central controller was designed to realize the remote control of the bionic robofish based on the navigation and positioning function of BDS. Finally, the prototype experiment verified the feasibility of the overall design. © 2022 IEEE.

关键词： Water quality

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Human-AI Collaboration: A Study on Anti-ChatGPT Strategies Employed in Innovative Practical Homework Towards "One-Click-Answer" Issue in AIGC 18th

Human-AI Collaboration: A Study on Anti-ChatGPT Strategies E...

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18th International Conference on Computer Science and Education, ICCSE 2023

作者： Yiwen, Liu Yahui, Yang Jinrong, Fu Tao, Feng Ting, Yin Yingxi, Xiang Yanxia, Gao Taiguo, Qu Xian, Zhang School of Computer and Artificial Intelligence Huaihua University Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua418000 China School of Foreign Languages Huaihua University Huaihua418000 China Furong School of Xinhong Dong Autonomous County Huaihua418000 China School of Fine Arts and Design Huaihua University Huaihua418000 China

ISBN: (纸本)9789819707362

ChatGPT as a representative of Artificial Intelligence in Generative Computing (AIGC) has had an impact on higher education. It promotes "human-computer collaboration" in coursework, showing both positive and negative effects. ChatGPT has the potential to provide students with personalized learning support. However, students may become too reliant on these tools and lack independent thinking. Aiming at the above problems, this paper introduces the idea of practical homework resource construction, and provides a series of anti-ChatGPT strategies, which can prevent students ChatGPT’s "one-click answer" from the source. By comparing activities such as teaching effectiveness, questionnaires, and talkback interviews conducted in the pilot course, the data illustrate the effectiveness of the methodology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Students

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Research on a new type of 10kV cable connector 7

Research on a new type of 10kV cable connector

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7th International Conference on Mechatronics and intelligent Robotics, ICMIR 2023

作者： Duan, Tao Liu, Bohan He, Dajiang Shu, You Du, Zemin Liao, Chengcao Huaihua University Hunan Huaihua418000 China Key Lab. of Intelligent Contr. Technol. for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China Preparation Technology of Polyvinyl Alcohol Fiber Materials Hunan Engineering Laboratory Hunan Huaihua418000 China State Grid Huaihua Power Supply Company Hunan Huaihua418000 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

10kV cable joints often cause cable failures during operation due to cable breakage, limitations of traditional connection methods, quality problems at construction site, *** often lead to potential safety hazards, power outages for users, threats to the stable operation of the power grid, serious economic losses and other negative effects. This paper presents a design scheme of plug-in intermediate joint. The prefabricated intermediate joint designed in this scheme is simple in structure, convenient to carry, easy to operate and relatively easy to install, which reduces the operating difficulty of the construction personnel, and can improve the reliability of the intermediate joint to a certain extent. In this paper, a new type of 10kV prefabricated intermediate joint is designed. Two cables are inserted into the intermediate joint part and the plug-in part of the device respectively. The two cables are connected and connected through the copper tube guide inside the intermediate joint part, and then the intermediate joint part and the plug-in part are fixed. This scheme accelerates the recovery speed, saves manpower, shortens the operation time, greatly improves the work efficiency, greatly reduces the failure rate, and creates good conditions for the safe and stable operation of the medium and low voltage power grid. © 2023 SPIE. All rights reserved.

关键词： Cables

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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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Performance Analysis of Unmanned Aerial Vehicle Relay System Based on intelligent Reflective Surface 3

Performance Analysis of Unmanned Aerial Vehicle Relay System...

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3rd International Conference on Electronic Informationtechnology and Smart agriculture, ICEITSA 2023

作者： Zhou, Zhuangzhuang Xia, Jinding Song, Qingheng The School of Information and Electrical Engineering Hunan University of Science and Technology Hunan Xiangtan411100 China The School of Communication and Electronic Engineering Jishou University Hunan Jishou416000 China Key Lab. of Intelligent Contr. Technol. for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China School of Physics Electronics and Intelligent Manufacturing Huaihua University Hunan Huaihua418000 China

ISBN: (纸本)9798400716775

This paper presents an analysis of the performance of Unmanned Aerial Vehicle (UAV) relay systems based on intelligent Reflecting Surface (IRS). The study offers valuable insights for the future design and optimization of communication systems, aiming to enhance the practicality and performance of UAV relay systems based on IRS. The paper begins with a comprehensive introduction of the principles of IRS technology and the fundamental structure of UAV relay systems, elucidating the application and significance of IRS technology in UAV relay systems. Additionally, we derive the end-to-end outage probabilities in both Single-Input-Single-Output (SISO) and Single-Input-Multiple-Output (SIMO) scenarios. Through simulation experiments, the relations between UAV outage probability and the number of IRS is presented, along with the obtain of optimal UAV height and position. These findings demonstrate that IRS technology improves signal coverage, substantially reduces UAV outage probability and effectively enhances the system's anti-interference performance. © 2023 ACM.

关键词： Antennas

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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 A New Connection Mode of 10kV Medium Voltage Cable Intermediate Joint 8

Research on A New Connection Mode of 10kV Medium Voltage Cab...

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8th International Conference on Energy Materials and Electrical Engineering, ICEMEE 2022

作者： Liu, Bohan He, DaJiang Chen, Lingxi Shu, You Cai, Yaoxing Duan, Tao School of Physics Electronics and Intelligent Manufacturing Huaihua University Hunan Huaihua418000 China Huaihua University Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China Academy of Fine Arts &art Instute Huaihua University Hunan Huaihua418000 China Preparation Technology of Polyvinyl Alcohol Fiber Materials Hunan Engineering Laboratory Hunan Huaihua418000 China State Grid Huaihua Power Supply Company Hunan Huaihua418000 China

ISBN: (纸本)9781510663220

Due to the on-site production of the middle joint of the cable, there are problems of loose contact, obvious heat generation and easy failure at the joint. In order to ensure the safe and stable operation of power cables and reduce the harm caused by the accidents of power cable intermediate joint to the power grid, this paper studies a preliminary design scheme of plug-in intermediate joint in view of the fact that there are many accessories of traditional power cable intermediate joint, the operation is cumbersome, and there are certain requirements for the technical level of installers. This scheme is easy to operate and requires less on-site process for operators. In this paper, a new connection mode of 10kV medium voltage cable intermediate joint is designed. The intermediate joint device is pre-made. the handle of the device is pulled open, the cable is inserted, and the connection is totally competed by closing the handle, which speeds up the recovery speed, improves the work efficiency, ensures the safe and stable operation of power cables, reduces the power system faults caused by the connection faults of intermediate cables, and provides a reliable guarantee for the safe operation of medium and low voltage distribution networks in China. © 2023 SPIE.

关键词： Electric power distribution

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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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Determination of birefringence of myocardial tissue based on PS-OCT with circularly polarized light as reference 16

Determination of birefringence of myocardial tissue based on...

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16th International Conference on Photonics and Imaging in Biology and Medicine, PIBM 2023

作者： Li, Wangbiao Li, Ke Li, Dezi Chen, Haiyu Cao, Wenliang Zhuo, Shufeng Li, Hui Li, Zhifang Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education Fujian Provincial Key Laboratory of Photonics Technology Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application College of Photonic and Electronic Engineering Fujian Normal University Fuzhou Fujian350117 China Key Lab. of Intelligent Contr. Technol. for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua University Huaihua Hunan418000 China Fujian Medical University Department of Cardiovascular Surgery Fujian Provincial Hospital Fuzhou Fujian350001 China The Internet of Thing and Artificial Intelligence College Fujian Polytechnic of Information Technology Fuzhou Fujian350001 China

ISBN: (纸本)9781510667341

In this study, the modified spectral domain polarization-sensitive optical coherence tomography (SD PS-OCT) is proposed for determining the birefringence of the myocardial tissue. In this modified SD PS-OCT, the circular polarization state of light was generated before entering the beam splitter. Thus, the polarization states in the reference and sample arms are both circular, and the symmetry between them is good without using additional quarter-wave plate (QWP), which reduce the dispersion effect. The results demonstrated that theoretical analysis for determination of birefringence including the phase retardance and the fast axis orientation based on Stokes parameters of backscattered from biological tissue, which is different from the traditional SD PS-OCT. In addition, the phase retardance and the fast axis orientation was used to differentiate the myocaridal tissue in the diastole of the cardiac cycle the from that in the systole of the cardiac cycle. The findings suggest that the SD PS-OCT be a potential tool for the real-Time monitoring the change of the myocardial wall during the cardiac cycle. © 2023 SPIE.

关键词： Birefringence

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