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International Conference on Communication Software and Networks, ICCSN

作者： Shenghai Chen Xiaoliang Peng School of Physics Electronics 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: (数字)9798331506322

ISBN: (纸本)9798331506339

In this paper, a selection underwater power line communication (UPLC) and hybrid free-space optical/radio frequency (FSO/RF) system is studied, where the connection between the UPLC link and the hybrid FSO/RF link is through a decode-and-forward (DF) relay. More specifically, we assume that the hybrid system transmits the same data with the same data rate over both links simultaneously. New closed-form expressions for the outage probability (OP), the average bit-error-rate (ABER), and the average channel capacity (ACC) are derived for the system. Finally, simulation results are provided to verify our analytical results.

关键词： Free-space optical communication Closed-form solutions Channel capacity System performance Simulation Power line communications Probability Hybrid power systems Software Relays

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Design of a Crop Disease and Pest Identification System Based on Deep Learning 3

Design of a Crop Disease and Pest Identification System Base...

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

作者： Zhou, Chengling Zhou, Lingfang Liu, Siyi Deng, Wen Xiao, Jing Hang, Shiyang Zhang, Shunru School of Physics Electronics and Intelligent Manufacturing Huaihua University Hunan Huaihua China Key Lab. of Intelligent Contr. Technol. for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua University Hunan Huaihua China Huaihua Key Laboratory of Agricultural Ecology Prevention and Control Huaihua University Hunan Huaihua China

ISBN: (纸本)9798400716775

Traditional conventional methods for identifying pests and diseases often rely depended on manual experience, making it difficult to ensure accuracy and low efficiency. Deep learning technology Learning technology deeply can automatically extract useful features from a large amount of image data, classify and recognize them, and improve enhance accuracy and efficiency This approach can help assist farmers detect pests and diseases in a timely manner, thus taking timely prevention and control measures to reduce the spread and loss of pests and diseases taking immediate steps to minimize its diffusion and loss as much as possible. This article in this paper, designs a deep learning based crop pest identification system designing a crop pest and disease recognition system which is based on deep learning, aiming to improve the accuracy and efficiency of crop pest identification. The system uses utilizes three classic convolutional neural networks (CNNs) as training models to achieve recognition of various common crop pest pests and disease types. After system testing and analysis, the results show demonstrate that the system has significant advantages in accuracy, real-time performance, and can meet fulfil practical application requirements. Future research directions Future studies can further optimize models, expand datasets, reduce false fake positives, and provide more accurate and efficient pest identification support for agricultural production. © 2023 ACM.

关键词： Convolutional neural networks

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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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Elucidating Dominant Factors Affecting Land Surface Hydrological Simulations of the Community Land Model over China

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Advances in Atmospheric Sciences 2023年第2期40卷 235-250页

作者： Jianguo LIU Zong-Liang YANG Binghao JIA Longhuan WANG Ping WANG Zhenghui XIE Chunxiang SHI School of Mathematics and Computational Science and Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan ProvinceHuaihua UniversityHuaihuaHunan 418008China Department of Geological Sciences The John A.and Katherine G.Jackson School of GeosciencesUniversity of Texas at AustinAustinTexas 78712-1722USA State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China National Meteorological Information Center China Meteorological AdministrationBeijing 100081China

In order to compare the impacts of the choice of land surface model(LSM)parameterization schemes,meteorological forcing,and land surface parameters on land surface hydrological simulations,and explore to what extent the quality can be improved,a series of experiments with different LSMs,forcing datasets,and parameter datasets concerning soil texture and land cover were *** simulations are run for the Chinese mainland on 0.1°×0.1°grids from 1979 to 2008,and the simulated monthly soil moisture(SM),evapotranspiration(ET),and snow depth(SD)are then compared and assessed against *** results show that the meteorological forcing is the most important factor governing *** that,SM seems to be also very sensitive to soil texture information;SD is also very sensitive to snow parameterization scheme in the *** Community Land Model version 4.5(CLM4.5),driven by newly developed observation-based regional meteorological forcing and land surface parameters(referred to as CMFD_CLM4.5_NEW),significantly improved the simulations in most cases over the Chinese mainland and its eight *** increased the correlation coefficient values from 0.46 to 0.54 for the SM modeling and from 0.54 to 0.67 for the SD simulations,and it decreased the root-mean-square error(RMSE)from 0.093 to 0.085 for the SM simulation and reduced the normalized RMSE from 1.277 to 0.201 for the SD *** study indicates that the offline LSM simulation using a refined LSM driven by newly developed observation-based regional meteorological forcing and land surface parameters can better model reginal land surface hydrological processes.

关键词： hydrological simulations land surface model meteorological forcing land surface parameters uncertainty

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Simulation Study of Water Spraying System of Lotus Root Digger Based on Submerged Water Jets 23

Simulation Study of Water Spraying System of Lotus Root Digg...

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Proceedings of the 3rd International Conference on Electronic Information technology and Smart Agriculture

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

ISBN: (纸本)9798400716775

In order to analyze the influence of the structural parameters of the water jet system of the lotus root digger on harvesting efficiency, this paper determines the main factors affecting the harvesting performance based on the principle of a "submerged" water jet for the nozzle outlet shape, outlet area, jet direction, and target distance. Using CFD simulation, it simulates the effect of the velocity distribution, jet impact force, and jet distribution on the harvesting development of the two-nozzle water jet hitting the water layer under different jet angles and target distances. The influence of the jet distribution on the harvesting effect when the water jet hits the water layer at different spray angles and target distances was simulated under different nozzle structure parameters. The results show that the performance of a round outlet nozzle is better than that of an oval, rectangular, and square outlet, and when the outlet size is set at 15∼16mm and the jet velocity is about 20m/s, the scouring effect is better and it can ensure that the couplings are not broken; when double nozzles are used, with the spray angle of 20∼30° and the target distance of 200mm, the effective scouring area of the jet is more extensive and the scouring effect is better.

关键词： CFD Simulation Lotus Root Digger Nozzle Submerged Water Jet

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Fault Diagnosis of Bearing with Small Sample based on Siamese Networks and Metric Learning 23

Fault Diagnosis of Bearing with Small Sample based on Siames...

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Proceedings of the 3rd International Conference on Electronic Information technology and Smart Agriculture

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

ISBN: (纸本)9798400716775

Bearing faults, characterized by their low probability occurrence and limited sample availability, present challenges in accurate diagnosis. Traditional data-driven diagnostic methods exhibit reduced accuracy and generalization in small datasets. This paper presents a Siamese networks model based on metric learning, which is used for bearing faults classification. Vibration signals are preprocessed using continuous wavelet transform (CWT), and features are extracted through the MobileNetV3 backbone network. The model employs Euclidean distance measurement for training and classification, demonstrating high accuracy under limited sample data.

关键词：

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Research on Indifference Management of Differentiated Computer Room

Research on Indifference Management of Differentiated Comput...

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

作者： Pengju Tang Yanxia Gao Yujun Yang Meixiu Tang 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 Huaihua China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua China Huaihua University Library Huaihua University Huaihua China

ISBN: (数字)9798331542696

ISBN: (纸本)9798331542702

University computer rooms generally prefer batch purchasing strategy to simplify the management process such as system deployment and software update. However, with the growth of the life of the equipment, the failure of electronic products is inevitable, especially once the motherboard problem occurs, it is often difficult to find a replacement that exactly matches the original motherboard. Even if the replacement is found, its price is far beyond the market average level. After several years of operation, even the motherboard purchased in the same batch may also lead to the coexistence of a variety of models due to various reasons. In this situation, it becomes impractical to carry out unified network cloning. To solve this problem, we propose an innovative solution: deploying a local backup system combined with a server-controlled startup mode. The core of this solution is that through the local backup system, we can effectively deal with the challenge of different motherboard models, and ensure that each machine can have its own system snapshot. At the same time, the server-controlled boot mode further enhances the flexibility and efficiency of management, so that even in the hardware diversity of the environment, it can also achieve batch system recovery. The introduction of local backup system not only solves the problem of differentiated computer room management, but also significantly improves the convenience and stability of computer room operation and maintenance.

关键词： Biological system modeling Ecosystems Cloning System recovery Stability analysis Software Hardware Maintenance Information technology Consumer electronics

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Fault Analysis of Bearings in Various States Based on Continuous Wavelet and Improved Residual Network 2

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

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

作者： Wang, Qingnan Tu, Jihui School of Intelligent Manufacturing Huaihua University China Key Lab. 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)9781665464017

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. © 2022 IEEE.

关键词： Wavelet transforms

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Integration Photonic Filter with a Stopband Spectrum Width of 362.6nm 23

Integration Photonic Filter with a Stopband Spectrum Width o...

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Proceedings of the 3rd International Conference on Electronic Information technology and Smart Agriculture

作者： Lijun Huang Liheng Huang Yan Mi Xianwu Mi School of Physics Electronics and Intelligent Manufacturing Huaihua University China and Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua University China School of Educational Science Huaihua University China

ISBN: (纸本)9798400716775

To achieve a large filtering band range at 1550nm of communication C band, a compact one-dimensional Photonic crystal structure-based microwave photonic filter (1DPhC-MPF) is proposed. The 1DPhC-MPF structure consists of a strip waveguide and a group of periodical holes arranged in the strip waveguide. By three-dimensional finite-difference time-domain (3D-FDTD) simulation, a biggest Photonic bandgap (PBG) of 51.85 THz could be achieved when the width of waveguide, the period and the R of holes are equal to 0.6μm, 0.4μm and 0.15μm, respectively. When the light is injected in the left of the waveguide, a biggest filtering band range (FBR) of 362.6nm could be achieved in the transmission spectrum. The transmission efficiencies could be reduced gradually with the increasement of filtering hole. The efficiencies are reduced to zero when the number of filtering hole is larger than 5. Therefore, the calculation results indicate that the proposed 1DPhC-MPF is an excellent candidate of filter for the optical interconnection device around 1550nm.

关键词： Filtering Band Range Photonic Crystal Stopband Filter

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Sequential generation of self-starting diverse operations in all-fiber laser based on thulium-doped fiber saturable absorber

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Chinese Physics B 2022年第6期31卷 87-90页

作者： Pei Zhang Kaharudin Dimyati Bilal Nizamani Mustafa M.Najm S.W.Harun School of Electrical and Information Engineering Huaihua UniversityHuaihua 418008China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua UniversityHuaihua 418008China Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur 50603Malaysia Faculty of Advanced Technology and Multidiscipline Airlangga UniversitySurabaya 60115Indonesia Institute of Computer Science and Digital Innovation UCSI UniversityKuala LumpurMalaysia

Self-starting Q-switching,Q-switched mode-locking and mode-locking operation modes are achieved sequentially in an all-fiber erbium-doped fiber laser with thulium-doped fiber saturable absorber for the first *** central wavelengths of Q-switching,Q-switched mode-locking and mode-locking operation modes are 1569.7 nm,1570.9 nm,and 1572 nm,*** mode-locking operation of the proposed fiber laser generates stable dark soliton with a repetition rate of 0.99 MHz and signal-to-noise ratio of 65 *** results validate the capability of generating soliton pulse by doped fiber saturable ***,the proposed fiber laser is beneficial to the applications of optical communication and signal processing system.

关键词： all-fiber laser Q-switched mode-locking dark soliton fiber saturable absorber

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