检索结果-内蒙古大学图书馆

DESIGN AND EXPERIMENTAL STUDY OF HIGH-EFFICIENCY AND LOW-DAMAGE BIONIC PICKING DEVICE FOR TOBACCO LEAVES

INMATEH - Agricultural engineering 2025年第1期75卷 995-1014页

作者： Zhu, Chenhui Chen, Bingjie Luo, Bo Wang, Wanzhang Liu, Bingjie Wang, Baoshan Yang, Liquan School of Mechanical and Electrical Engineering Henan Agricultural University Zhengzhou450002 China Henan Province Engineering Research Center of Ultrasonic Technology Application Pingdingshan University Pingdingshan467000 China School of Intelligent Engineering Zhengzhou College of Finance and Economics Zhengzhou450000 China College of Information and Management Science Henan Agricultural University Zhengzhou450002 China

To address the issues of high damage rate and low harvesting efficiency during the tobacco leaf picking process, this study analyzed the separation mechanics of tobacco stems and leaves. A low-damage bionic picking device was designed by imitating the manual method of harvesting tobacco leaves. Based on theoretical analysis of the device and its key components, the structure and parameters of the complete system were determined. The picking process was simulated using ADAMS software, focusing on the contact force between the rigid and flexible components at various picking rod speeds. This analysis yielded the optimal combination of structural and operational parameters. Field experiments were subsequently conducted, and a response surface mathematical model was established using Design-Expert software to evaluate the relationship between key factors and performance indicators. The optimal parameter combination was found to be: a picking rod speed of 0.8 m/s, a device inclination angle of 30°, a picking rod spacing of 90 mm, and a forward speed of 0.69 m/s. Under these conditions, the tobacco leaf damage rate was minimized, meeting the requirements for low-damage harvesting. Further experimental validation showed consistency with simulation results, confirming the model's reliability and demonstrating the practical feasibility of the device for tobacco field operations. This provides a valuable reference for the development of low-damage tobacco leaf harvesting equipment. © (2025), (INMA Bucharest). All Rights Reserved.

关键词： Computer software selection and evaluation

来源：评论

学校读者我要写书评

暂无评论

Graph Neural Network-Based User Preference Model for Social Network Access Control

Informatica (Slovenia)

引用

Informatica (Slovenia) 2025年第16期49卷 21-36页

作者： Zhang, Yuan Xuchang Vocational Technical College Xuchang461000 China Henan Province Data Intelligence and Security Application Engineering Technology Research Center Xuchang461000 China

The popularity and deepening of social networks have increased the risk of personal information leakage for users. To enhance the security of social networks, this study constructed an access control model based on the preferences of social network users. This model utilizes graph neural networks to generate access control strategies based on user preferences, and introduces a multi-layer attention mechanism to optimize the graph neural network. To better capture user preference information, the study sets the learning rate to 0.0001. The experimental results demonstrated that in the Twitter dataset, the accuracy of the proposed model reached 95.7% and the F1 score reached 96.2%, which were significantly higher than those of other models. These results indicated that the model could more accurately classify access control in social networks and reduce false positives. The area under the receiver operation characteristic curve of the proposed model was 0.982, which was higher than other models. The decision time was 13.77 seconds, significantly lower than other models. This indicated that the model could more effectively distinguish different types of user access requests and provide more reliable guarantees for secure access to social networks. The user's preferred social network access control model based on graph neural networks has superior performance, effectively ensuring the information security of social network users and laying the foundation for further development of access control technology. © 2025 Slovene Society Informatika. All rights reserved.

关键词： Access control models

来源：评论

学校读者我要写书评

暂无评论

Self-assembled Fe_(3)O_(4)nanoparticles on V2C MXene for enhanced supercapacitor and microwave absorption applications

引用

Journal of Advanced Ceramics 2025年第3期14卷 183-196页

作者： Qixun Xia Ranlu Miao Wen Guo Min Xia Libo Wang Qianku Hu Aiguo Zhou School of Materials Science and Engineering Henan Polytechnic UniversityJiaozuo 454003China Henan Province Expressway Efficient Energy Storage Technology and Application Engineering Research Center Zhengzhou 450121China Department of Macromolecular Science Fudan UniversityShanghai 200438China Henan Radio Requlation Information System Backup Center Zhengzhou 450008China

Rapid advancements in modern electronic devices necessitate the development of materials that can simultaneously provide efficient energy storage and effective microwave ***,a novel composite material was prepared via the self-assembly of Fe_(3)O_(4)nanoparticles on the surface of V2C *** composite exhibited characteristics suitable for supercapacitor and electromagnetic absorption applications,highlighting the synergistic relationship between energy storage and electromagnetic wave absorption *** electrochemical tests revealed that the specific capacity of the V_(2)C MXene/Fe_(3)O_(4)composite(42.67 mAh·g^(−1))considerably improved compared with those of the raw *** prepared V2C MXene/Fe_(3)O_(4)//V_(2)C MXene/Fe_(3)O_(4)symmetric supercapacitor(SSC)demonstrated an energy density of 44.8 Wh·L^(−1),a power density of 959.4 W·L−1,and a capacity retention of 80.14%after 8000 ***,the V2C MXene/Fe_(3)O_(4)composite exhibited an optimal reflection loss(RL)of−42.4 dB in the Ku band,with an effective absorption bandwidth of 1.9 GHz(14.6–16.5 GHz).This composite material has broad application potential in modern electronic devices owing to its high energy storage capacity and effective electromagnetic wave *** dual functionality improves device performance and offers a compact solution for energy storage and effective microwave absorption.

关键词： MXenes Fe_(3)O_(4) two-dimensional(2D)materials supercapacitors microwave absorption

来源：评论

学校读者我要写书评

暂无评论

Prediction of the Seepage Quantity Based on a Random Field Model of Soil Permeability Coefficient

引用

ce/papers 2025年第2期8卷 496-509页

作者： Wang, Hui Du, Mengke Jin, Mingyan Li, Liqing He, Fangchan Bian, Ke Lan, Yan Henan River Diversion Project Co. Ltd Zhengzhou450008 China School of Civil Engineering and Architecture Henan University of Technology Zhengzhou450001 China Henan Province Water Conservancy Technology Application Center Zhengzhou450003 China Yellow River Institute of Hydraulic Research Zhengzhou450004 China

Natural soils exhibit spatial variability, and predicting seepage quantity considering a random field model of soil permeability coefficient is significant for water conveyance channel. Base on the Yangtze River-Huaihe River Interbasin Water Transfer Project, employing finite element numerical simulation method to construct a three-dimensional stochastic field model using normal distribution. Four different stochastic field distribution parameters are researched to predict seepage flow. The main conclusions are as follows: ①Compared to deterministic seepage fields, the average seepage quantity increases about 30% for considering the random distribution of permeability coefficients. ②The selection of parameters in the stochastic field model significantly affects statistical values of seepage flow, with the variance of the fluctuation function having the greatest impact on both the mean and dispersion of seepage flow. Autocorrelation coefficient and fluctuation scale have a significant influence on the dispersion of seepage flow, but little effect on the mean;③Hydraulic conditions of the slope are crucial factors controlling seepage, and they exhibit clear coupling with the stochastic effects of permeability coefficients. Therefore, in practical engineering, it is necessary to select appropriate hydraulic conditions and stochastic field parameters based on on-site hydraulic conditions and statistical distribution characteristics of parameters to accurately predict seepage quantity. © 2025 Ernst & Sohn GmbH.

关键词： Normal distribution

来源：评论

学校读者我要写书评

暂无评论

SPDGrNet: A Lightweight and Efficient Image Classification Network for Zea mays Diseases

引用

Journal of Crop Health 2025年第3期77卷 1-12页

作者： Xu, Laixiang Cao, Bingxu Su, Jing feng Zhang, Fengyue Song, Hongyun Zhao, Junmin School of Computer and Data Science Research Center of Smart City and Big Data Engineering of Henan Province Henan University of Urban Construction Pingdingshan China School of Information Engineering Luohe Vocational Technology College Luohe China Institute of Technology University of Technology Luohe Luohe China School of Computer and Data Science Innovation Laboratory of Smart Traffic and Big Data Development of Hainan Province Henan University of Urban Construction Pingdingshan China School of Computer and Data Science Henan University of Urban Construction Pingdingshan China School of Computer and Data Science Research Center of Smart City and Big Data Engineering of Henan Province Research Center of Intelligent Campus Application Engineering of Henan Province Innovation Laboratory of Smart Traffic and Big Data Development of Hainan Province Henan University of Urban Construction Pingdingshan China

Controlling diseases on the foliage of cultivated plants has a major impact on crop yield and quality. Leaf symptoms and environmental information are the basis of crop disease and pest identification. Due to the complexity and diversity of disease leaf symptoms and environmental information, the accuracy of crop disease detection methods has decreased. Aiming at low disease identification efficiency and difficult feature modeling, we propose a new deep learning algorithm and obtain ideal results. We used improved convolutional neural networks (CNNs) SPDNet and GrNet (SPDGrNet) to perform Zea mays disease identification. The proposed research and analysis focus on four categories of Zea mays symptoms: healthy, leaf blight, southern leaf blight and grey spot. The experimental results and analysis confirm that the proposed approach outperforms other excellent plant disease recognition algorithms and achieves an overall classification accuracy of 98.96%. When compared to AlexNet, VGG-16, Inception-V4, ShuffleNet-V3, and Efficient-B7, the proposed model achieves accuracy improvements of 27.78%, 19.05%, 14.59%, 10.28%, and 7.06%, respectively, with corresponding accuracies of 71.18%, 79.91%, 84.37%, 88.68%, and 91.9%. The proposed model has outstanding generalization ability in open-source databases, such as the PlantifyDr, Plant Pathology, and New Plant Diseases Dataset. The suggested strategy can provide ideas for transplanting models into mobile disease detection equipment. This is very helpful in the intelligent development of agricultural systems and crop leaf disease analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Neural Networks and Chemical Messengers: Insights into Tobacco Addiction

引用

Brain topography 2025年第4期38卷 42页

作者： Jieping Sun Qingqing Lv Jinghan Dang Mengzhe Zhang Qiuying Tao Yimeng Kang Longyao Ma Bohui Mei Weijian Wang Shaoqiang Han Jingliang Cheng Yong Zhang Department of Magnetic Resonance Imaging the First Affiliated Hospital of Zhengzhou University Zhengzhou China. Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. Key Laboratory of Imaging Intelligence Research medicine of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. Department of Radiology the Third Affiliated Hospital of Zhengzhou University Zhengzhou China. Department of Magnetic Resonance Imaging the First Affiliated Hospital of Zhengzhou University Zhengzhou China. zzuzhangyong2013@***. Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. zzuzhangyong2013@***. Key Laboratory of Imaging Intelligence Research medicine of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. zzuzhangyong2013@***. Department of MRI the First Affiliated Hospital Zhengzhou University No. 50 Jianshe East Road Zhengzhou Henan Province 450052 China. zzuzhangyong2013@***.

This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (TA) and whether these changes reflect alterations in neurotransmitter systems. A total of 90 patients with TA and 46 healthy controls (HCs) matched for age, education, and body mass index undergo functional magnetic resonance imaging (fMRI) scans. Independent component analysis (ICA) is employed to extract RSNs based on a customized network template using the HCP ICA MATCHING toolbox. Additionally, a correlation study is conducted to examine the relationship between changes in functional connectivity (FC) within RSNs and positron emission tomography and single photon emission computed tomography-derived maps, aiming to identify specific neurotransmitter system changes underlying abnormal FC in TA. Compared to HCs, the TA group exhibits decreased FC values in the left precentral gyrus of the sensorimotor network B and in the right calcarine of the visual network B. Furthermore, changes in FC within the visual network B are associated with the 5-hydroxytryptamine system (1a) and opioid receptor system (Kappa) maps. Post-hoc power analysis confirms the adequacy of the sample size, with effect sizes (d) all greater than 0.9, supporting the robustness of the findings. Patients with TA show reduced intranetwork connectivity in the sensorimotor network B and visual network B, which may reflect underlying molecular changes. These findings improve understanding of the neurobiological aspects of TA.

关键词： Independent Component Analysis Magnetic Resonance Imaging Resting-state Network Sensorimotor Network Tobacco Addiction Visual Network

来源：评论

学校读者我要写书评

暂无评论

Designing N-RGO and CNFs co-decorated NiS2 for high-efficiency hybrid supercapacitors with excellent energy density and cycling stability

引用

Journal of Energy Storage 2025年 113卷

作者： Li, Zhikun Zhang, Weiyang Li, Xiaona Li, Yanchun Kang, Hongwei Li, Zijiong Yang, Baocheng Henan Key Laboratory of Nanocomposite and Application Zhengzhou City Key Laboratory of Supercapacitor Institute of Nanostructured Functional Materials Huanghe Science and Technology College Zhengzhou450006 China School of Chemistry and Materials Engineering Engineering Research Center of Biomass Conversion and Pollution Prevention of Anhui Educational Institutions Fuyang Normal University Fuyang236037 China Key Laboratory of Magnetoelectronic Information Functional Materials of Henan Province School of Physics & Electronic Engineering Zhengzhou University of Light Industry Zhengzhou450002 China

Nickel disulfide (NiS2), due to its abundant redox active sites, high theoretical specific capacity and abundant resources, is a promising high-performance energy storage electrode material in the transition metal sulfide family. However, its poor high-current charging/discharging ability and cycling stability have seriously restricted its development and application. Herein, we have innovatively designed and synthesized a novel nanohybrid of N-doped functionalized reduced graphene oxide (N-RGO) and carbon nanofibers (CNFs) co-decorated with NiS2 nanoparticles by hydrothermal method, denoted as N-RGO/CNFs/NiS2. Two-dimensional N-RGO nanosheets synergizes with one-dimensional CNFs, both with high conductivity, to construct stable hierarchical porous network nanostructures, which not only facilitates the charge transport/ion diffusion kinetics, but also provides buffer space for the rapid insertion/extraction of ions, leading to enhanced rate capability and cycling stability. Simultaneously, the two carbon materials with high specific surface area promote better dispersion of NiS2 nanoparticles and provide abundant exposed electroactive sites, which are favorable for taking advantage of the high capacity of NiS2. Consequently, the developed N-RGO/CNFs/NiS2 nanohybrids as electrodes exhibit a high specific capacity of 227.5 mAh g−1 at 0.8 A g−1 and improved rate capability (58.6 %, 0.8 to 30 A g−1). Even more fascinatingly, the assembled N-RGO/CNFs/NiS2//AC aqueous hybrid supercapacitor (AHSC) delivers an excellent energy density of 55.0 Wh kg−1 (at 738.2 W kg−1) and ultra-long durability with 95.26 % capacity retention after 26,000 cycles, which indicates its fascinating application feasibility in new high-performance energy storage devices with low-cost and high-safety. © 2025 Elsevier Ltd

关键词： Supercapacitor

来源：评论

学校读者我要写书评

暂无评论

Hollow architectures of CoNi2S4/NiS2 with boosted performance for supercapacitors

引用

CrystEngComm 2025年

作者： Wei, Chengzhen Cheng, Cheng Lin, Weichen Li, Chenxi Du, Weimin Du, Kaige Shan, Shuo Henan Province Key Laboratory of New Opto-electronic Functional Materials College of Chemistry and Chemical Engineering Anyang Normal University Anyang455000 China Henan Province Engineering and Technology Research Center for Aqueous System Energy Storage and Conversion Electrode Materials China Henan Province Engineering Research Center of Chemical Energy-saving Material Development and Application China

Hollow architectures have great prospects in supercapacitors due to their rich active surface area, good structural stability and convenient transmission channels for ions/electrons. Herein, we present a self-engaged template process to prepare hybrid CoNi2S4/NiS2 hollow architectures. Ni-Co glycerate solid spheres are used as templates and transformed to CoNi2S4/NiS2via a sulfidation procedure. The supercapacitor’s performance evaluation unveils that these CoNi2S4/NiS2 hollow architectures manifest a high capacitance of 1309.2 F g−1 at 4.0 A g−1 and remarkable cyclability with 1147.6 F g−1 retention (only 4.2% decay) for 5000 cycles at 6.0 A g−1. Furthermore, a two-electrode cell assembly of the CoNi2S4/NiS2 and activated carbon, displays an energy density of 47.5 W h kg−1 at 3301 W kg−1 and impressively durable cycle life. These results provide a simple avenue to design an efficient electrode material for supercapacitors based on metal sulfides. © 2025 The Royal Society of Chemistry.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Modulation of the optoelectronic properties of h-BN/ WTe₂ heterostructures with different twist angles by biaxial strain

引用

Computational and Theoretical Chemistry 2025年 1249卷

作者： Zhang, Jun Xu, Hang Hu, Jiping Yang, Xiaotian Ji, Shipei Qu, Yipu Wang, Fang Liou, Juin J. Liu, Yuhuai National Center for International Joint Research of Electronic Materials and Systems International Joint-Laboratory of Electronic Materials and Systems of Henan Province School of Electrical and Information Engineering Zhengzhou University Henan Zhengzhou 450001 China International Joint Laboratory for Integrated Circuits Design and Application Ministry of Education School of Physics Zhengzhou University Zhengzhou 450052 China Institute of Intelligence Sensing Research Institute of Industrial Technology Co. Ltd. Zhengzhou University Henan Zhengzhou 450001 China Zhengzhou Way Do Electronics Co. Ltd. Henan Zhengzhou 450001 China Sinomach Diamond (Henan) Co. Ltd Henan Zhengzhou China School of Electrical and Information Engineering North Minzu University Ningxia Yinchuan 750001 China

Constructing a vertical van der Waals heterostructure can effectively regulate the properties of a single 2D material. This paper constructs a vertical h-BN/WTe₂ heterostructure and uses first-principles methods based on density functional theory to explore the effects of twist angle and biaxial strain on its stability, electronic properties, and optical performance. The results show that the twist angle does not change the direct bandgap and type-I band alignment of the h-BN/WTe₂ heterostructure, but it affects the bandgap size and the positions of the conduction band minimum (CBM) and valence band maximum (VBM). The maximum value of the bandgap occurs at twist angles of 8.9° and 51.1°, with a value of 1.21 eV. Additionally, for the h-BN/WTe₂ heterostructure at a twist angle of 0°, the maximum optical absorption coefficient is 9.5 × 10⁵ cm⁻¹ at 5.38 eV. As the twist angle changes from 0° to 8.9° and 30°, the optical absorption spectrum redshifts, and the absorption coefficient decreases. Furthermore, within the strain range of −12 % to +12 %, the bandgap type of the h-BN/WTe₂ heterostructure changes from indirect to direct and then back to indirect, and a semiconductor-metal phase transition also occurs. The research results provide theoretical guidance for the use of the h-BN/WTe₂ heterostructure in optoelectronic devices, aiding its further development in the field of optoelectronic device applications. © 2025 Elsevier B.V.

关键词： 2D materials Biaxial strain H-BN Twist angle Van der Waals heterostructures WTe2

来源：评论

学校读者我要写书评

暂无评论

The Nest of Torquigener Albomaculosus:Fluid-Dynamic Aspects and Potential for Bio-Inspired engineering

引用

Fluid Dynamics & Materials Processing 2023年第7期19卷 1837-1850页

作者： Zhimin Zhao Shangbin Wang Yuanhao Tie Ning Feng School of Electrical and Mechanical Engineering Pingdingshan UniversityPingdingshan467000China Henan Province Engineering Research Center of Ultrasonic Technology Application Pingdingshan UniversityPingdingshan467000China School of Mechanical and Transportation Engineering Guangxi University of Science and TechnologyLiuzhou545006China

Torquigener albomaculosus,also known as the white-spotted pufferfish,is known for creating circular nests in the underwater sand as part of the mating *** nests are built by the males to attract females through the nest’s impressive design and related ability to gather fine sand *** the fluid-dynamic processes associated with these unique nests are still almost completely unknown,in the present study,an analysis has been conducted to investigate how the geometric parameters related to the nest design influence the fluid velocity in its *** this reason,a geometric model of the nest consisting of 24 channels,where each unit channel can be described by three strips of broken lines,has been introduced,and a multivariate analysis has been implemented to determine the relative weight of each considered *** particular,the“optimal”combination of parameters has been obtained by means of an orthogonal design *** show that these bio-nest structures also display a potential for significant application in marine litter collection,or for use as a buffer against the waves in offshore areas.

关键词： CFD multivariate fluid analysis optimization mystery circles

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：