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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

作者： Yi Long Hongbo Xiao Jianhua Xiao Xiaoning Peng School of Computer Science and Engineering Huaihua University 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 Hunan P. R. China

ISBN: (纸本)9781665464024

Accurately predicting the future trend of traffic flow is of great significance to the planning of urban traffic. The great challenge of predicting traffic flow stems from the complexity and uncertainty of traffic flow. To address the complexity of traffic flow, this paper proposes a MAF-GCN $\text{Seq}2$ Seq model. The model uses a moving average filter to filter the time series data, extracts the spatial features between each node through a graph convolutional neural network, and forms a time series matrix for input into the encoder (GRU), and introduces a self-attention mechanism to mine the spatial features. time-domain features for multi-step traffic speed prediction. In order to verify the advanced nature of the model, this paper uses the traffic flow data set in Shenzhen to predict the traffic flow. Through the comparison experiments, it can be seen that the prediction accuracy of the MAF-GCN $\text{Seq}2$ Seq model reaches 90%, which has obvious advantages compared with other models.

关键词： Training Uncertainty Time series analysis Predictive models Feature extraction Data models Spatial databases

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Energy Model for UAV Communications:Experimental Validation and Model Generalization

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China Communications 2021年第7期18卷 253-264页

作者： Ning Gao Yong Zeng Jian Wang Di Wu Chaoyue Zhang Qingheng Song Jachen Qian Shi Jin National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China Purple Mountain Laboratories Nanjing 211111China College of Electronic and Optical Engineering&College of Microelectronics Nanjing University of Posts and TelecommunicationsNanjing 210023China College of Electrical and Information Engineeing Huaihua UniversityHuaihua 418008China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua 418008China

Wireless communication involving unmanned aerial vehicles(UAVs)is expected to play an important role in future wireless ***,different from conventional terrestrial communication systems,UAVs typically have rather limited onboard energy on one hand,and require additional flying energy consumption on the other *** renders energy-efficient UAV communication with smart energy expenditure of paramount *** this paper,via extensive flight experiments,we aim to firstly validate the recently derived theoretical energy model for rotary-wing UAVs,and then develop a general model for those complicated flight scenarios where rigorous theoretical model derivation is quite challenging,if not ***,we first investigate how UAV power consumption varies with its flying speed for the simplest straight-and-level *** about 12,000 valid power-speed data points collected,we first apply the model-based curve fitting to obtain the modelling parameters based on the theoretical closed-form energy model in the existing *** addition,in order to exclude the potential bias caused by the theoretical energy model,the obtained measurement data is also trained using a model-free deep neural *** is found that the obtained curve from both methods can match quite well with the theoretical energy ***,we further extend the study to arbitrary 2-dimensional(2-D)flight,where,to our best knowledge,no rigorous theoretical derivation is available for the closed-form energy model as a function of its flying speed,direction,and *** fill the gap,we first propose a heuristic energy model for these more complicated cases,and then provide experimental validation based on the measurement results for circular level flight.

关键词： UAV communications energy model energy consumption flight experiments model generalization

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Dual-Stream Fusion Network With Multi-Head Self-Attention for Multi-Modal Fake News Detection

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SSRN 2024年

作者： Yang, Yimei Liu, Jinping Yang, Yujun Cen, Lihui School of Mathematics and Statistics Hunan Normal University Changsha410081 China Huaihua University Hunan Huaihua418000 China College of Information Science and Engineering Hunan Normal University Changsha China School of Automation Central South University Changsha410083 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing Application in Hunan Province Universities Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China

With the rapid development of social media platforms such as Weibo, WeChat, and other new media, as well as the rise of deepfake technologies, the identification and containment of fake information have posed significant challenges, becoming one of the key challenges faced by society and governmental institutions. Therefore, the development of intelligent and efficient methods for detecting fake news has become a top priority in combating misinformation. Addressing challenges in current fake news detection techniques, such as cross-lingual issues, data imbalance, and multimodal information fusion, this paper aims to propose a dual-stream fusion network model (DSF-MHSA) based on deep learning for detecting fake news across web pages, images, and text. The model combines the deep learning models ERNIE-M, AlexNet, ShuffleNet, and three multi-head self-attention mechanisms to extract and classify features from multilingual text and images. By utilizing two separate multi-head self-attention mechanisms to process extracted textual and image information, the model captures long-range dependencies among texts to better understand contextual information and captures global information among images to enhance object recognition and localization capabilities. Finally, a single multi-head self-attention mechanism is employed to integrate textual and image information to capture cross-modal correlations, thereby strengthening the model's understanding and identification capabilities of news content. This dual-stream fusion network architecture ensures the model's ability to detect multimodal news scenarios in both English and Chinese short texts and images. Experimental evaluations conducted on three publicly available datasets - Twitter, Weibo, and IKCEST-2023 dataset, which contains real online news data collected from domestic and international social media platforms - demonstrate superior performance of the proposed model in news detection tasks, achieving an accuracy rate

关键词： Network architecture

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Research on Modeling and Simulation of Cd-Te Thin Film Solar Photovoltaic Cells

Research on Modeling and Simulation of Cd-Te Thin Film Solar...

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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

作者： Yao Lin Xiaoyun Wu Weibo Zhi Pinglin Hu Kaixuan Yin School of Material Electricity and Intelligent Manufacturing Huaihua University Huaihua China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua University Huaihua China

ISBN: (纸本)9781665464024

This paper simulates the relationship between the output characteristic curve of CdTe thin film solar cells and the changes of ambient light intensity and ambient temperature in the actual application process. On the basis of the equivalent circuit of CdTe thin film solar cell, the engineering mathematical model is established with the simulation parameters of the solar cell module provided by the CdTe battery manufacturer. According to the engineering mathematical model of the CdTe thin film solar cell, the model is built and simulated in the Matlab/Simulink simulation system to simulate the gradual change of the light intensity when the temperature is constant and the gradual change of the ambient temperature when the light intensity is constant, and observe the I-V P-V output characteristic curve, analyze the relationship between CdTe thin film solar cell and external light intensity and ambient temperature.

关键词： Smart agriculture Photovoltaic systems Analytical models Temperature II-VI semiconductor materials Photovoltaic cells Mathematical models

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Ultra-Compact On-Chip One Dimensional Nanobeam Cavity for Simultaneous Temperature Sensor and Bandstop Filter at 2μm Waveband

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SSRN 2022年

作者： Huang, Lijun Zhang, Juan He, Dajiang Mi, Xianwu Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province School of Electrical and Information Engineering Huaihua University Hunan Huaihua418008 China

Small footprint and compact size optical sensors are key components in on-chip high density integrated devices. An ultra-compact one dimensional photonic crystal nanobeam cavity (1D-PhC-NBC) structure with the simultaneous functionality of sensing and filtering is proposed. To confine the light into the center of cavity to obtain a fundamental resonant mode and filter out the light belonging to other frequency band, the structure consists of 1D-PhC-NBC sensor (1D-PhC-NBCS) and 1D-PhC-NBC filter (1D-PhC-NBCF). In the region of 1D-PhC-NBCS, the waveguide width is tapered from the center to the end and the size of air holes is kept to the same. In the region of 1D-PhC-NBCF, the waveguide width and the size of air holes are the same. The 1D-PhC-NBCF is serially putted on the behind of 1D-PhC-NBCS to obtain the desired resonant peak on the end of the waveguide. With three dimensional finite-difference time-domain (3D-FDTD) simulation, the results show that an optimal resonant frequency of air mode and mirror strengthen are achieved when the semi-major and semi-minor axes are equal to 0.38 μm and 0.14 μm, and the width of waveguide is tapered from 1.07 μm to 0.83 μm, respectively. The fundamental resonant peak of 1940.85nm is propagated in 1D-PhC-NBCF when the semi-major axis of 0.27 μm and semi-minor axes of 0.08 μm are chosen. The sensitivity of 198.09 nm/RIU is achieved with the increase of temperature. The size is about a half of the previous reported nanobeam structure due to the filter existing one side of the structure. Particularly, the minimum size of the proposed structure is only 12.6 μm×1.1 μm. Therefore, it is a promising method to construct highly integrated sensor arrays for on-chip applications. © 2022, The Authors. All rights reserved.

关键词： Photonic crystals

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Research and Design of Bionic Robofish for Water Quality Detection

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

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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

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

ISBN: (纸本)9781665464024

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.

关键词： Shape Navigation Prototypes Water quality Kinematics Propulsion Fish

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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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Fault Analysis of Bearings in Various States Based on Continuous Wavelet and Improved Residual Network

Fault Analysis of Bearings in Various States Based on Contin...

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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

作者： Qingnan Wang Jihui Tu School of Intelligent Manufacturing Huaihua University Key Laboratory of Intelligent Control Technology for Wuling Mountain Ecological Agriculture Hunan Province Huaihua China School of Electronic and Information Yangtze University Jingzhou China

ISBN: (纸本)9781665464024

The bearing fault signals are complex and difficult to collect, which leads to a limited number of fault samples, and it is difficult to analyze the changeable bearing faults with conventional methods. In this paper, an automatic signal feature extraction method by improved residual network and wavelet transform is presented, which is suitable for bearing fault analysis in various states. Continuous wavelet transform (CWT) can obtain enough time-frequency images by superposing the original vibration signals. Improve the residual network, increase the attention mechanism and better deal with complex features. Transfer learning is applied to various working states, and the common features of bearing faults concealment are extracted and learned, so as to improve the applicability of diagnosis. The prediction ability of the bearing is tested in various working states, which proves the applicability of our fault analysis method. The problem of low accuracy of small sample identification caused by lack of actual fault data is solved.

关键词： Vibrations Fault diagnosis Time-frequency analysis Continuous wavelet transforms Convolution Transfer learning Feature extraction

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Image Encryption Based on Two-Dimensional Switching controlled Chaotic System and Qr Decomposition

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SSRN 2023年

作者： Zhuang, Zhiben Ding, Lingfen Chen, Shiqiang Liu, Jingyi School of Mathematics and Computational Science Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua University Hunan Huaihua418000 China College of Intelligent Systems Science and Engineering Hubei Minzu University Hubei Enshi445000 China Sichuan University China

In this paper, we construct a new two-dimensional (2D) switching control chaotic system, increase the randomness of the system by switching the control parameter ET, and apply this chaotic system to image encryption. First, we decompose a plaintext image matrix into an upper triangular matrix and orthogonal matrix using QR decomposition. We multiply the left side of the orthogonal matrix by d (d ≥1) random orthogonal matrices. Simultaneously, we chaotically rearrange the elements in the upper triangular matrix using an improved Joseph loop, and then multiply the two resulting matrices. Second, we subject the product matrix to bit-level scrambling using a chaotic sequence. Finally, we generate the chaotic sequences using the new 2D chaotic map and subject the scrambling matrix to a bitwise exclusive OR operation to obtain the final encrypted image. The experimental results and theoretical analysis demonstrate that the method has relatively high security. © 2023, The Authors. All rights reserved.

关键词： Chaotic systems

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Design of Multi-Functional Agricultural And Forestry Bird Repellent Irrigation Device Based on Radar and Ultrasonic Probing Drive

Design of Multi-Functional Agricultural And Forestry Bird Re...

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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

作者： Kaixuan Yin Yao Lin Xiaoyun Wu Pinglin Hu Fucheng Luo School of Material Electricity and Intelligent Manufacturing Huaihua University Huaihua China School of Material Electricity and Intelligent Manufacturing Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua University Huaihua China

ISBN: (纸本)9781665464024

In the development of agricultural economic production, the problems of bird infestation, seasonal problems of water sources and increasing labor costs have become more and more serious. In order to solve the above problems and implement the concept of ecological governance and intelligent management, this paper proposes a separate design of radar detection and ultrasonic driving, and analyzes the propagation continuity of radar and ultrasonic driving in the outdoor environment with more interference. The practicality of ultrasonic voice repelling. Irrigation equipment adopts debugged sprinkler heads and improved filtering device. While saving water and optimizing water quality, it adopts solar energy storage and scarecrow-like appearance design, which enhances the battery life and convenience of the device. Combined with PC-side control, it can use the power storage margin to maintain the low-power operation of the device and obtain its operation information under all weather conditions, which is in line with the design concept of realizing intelligence and efficiency. Finally, numerical example analysis and experimental investigation results on radar and irrigation equipment show the effectiveness of the method. It provides a feasible scheme for the comprehensive prevention and control of agricultural and forestry land.

关键词： Smart agriculture Irrigation Radar detection Forestry Water quality Solar energy Birds

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