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Semantic segmentation of agricultural images:A survey

Information Processing in Agriculture 2024年第2期11卷 172-186页

作者： Zifei Luo Wenzhu Yang Yunfeng Yuan ruru gou Xiaonan Li School of Cyber Security and Computer Hebei UniversityHebei 071002China Hebei Machine Vision Engineering Research Center BaodingHebei 071002China College of Education Hebei UniversityHebei 071002China

As an important research topic in recent years,semantic segmentation has been widely applied to image understanding problems in various *** the successful application of deep learning methods in machine vision,the superior performance has been transferred to agricultural image processing by combining them with traditional *** segmentation methods have revolutionized the development of agricultural automation and are commonly used for crop cover and type analysis,pest and disease identification,*** frst give a review of the recent advances in traditional and deep learning methods for semantic segmentation of agricultural images according to different segmentation *** we introduce the traditional methods that can effectively utilize the original image information and the powerful performance of deep learningbased ***,we outline their applications in agricultural image *** our literature,we identify the challenges in agricultural image segmentation and summarize the innovative developments that address these *** robustness of the existing segmentation methods for processing complex images still needs to be improved urgently,and their generalization abilities are also *** particular,the limited number of labeled samples is a roadblock to new developed deep learning methods for their training and *** this,segmentation methods that augment the dataset or incorporate multimodal information enable deep learning methods to further improve the segmentation *** review provides a reference for the application of image semantic segmentation in the field of agricultural informatization.

关键词： Semantic segmentation Agricultural images Deep learning Convolution neural networks

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Microstructural landscape of amorphous carbon

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National Science Review 2024年第5期11卷 94-95页

作者： Huiyang gou Center for High Pressure Science and Technology Advanced Research (HPSTAR)

Due to its diverse bonding hybridization forms (sp, sp2and sp3), amorphous carbon exhibits multifaceted properties and important application prospects, which have aroused extensive research interest[1–5]. In amorphous solids, some degree of atomic short-to medium-range order is thought to be ubiquitous, and the recent synthesis of new amorphous carbon has further increased our understanding of the atomic disorder in materials [4].

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Optimizing urban block morphologies for net-zero energy cities:Exploring photovoltaic potential and urban design prototype

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Building Simulation 2024年第4期17卷 607-624页

作者： Xiaotian Geng Dong Xie Zhonghua gou School of Urban Design Wuhan UniversityWuhanChina

The morphology of urban areas plays a crucial role in determining solar potential,which directly affects photovoltaic capacity and the achievement of net-zero *** study focuses on the City of Melbourne to investigate the utilization of solar energy across different urban densities and proposes optimized *** analysis encompasses blocks with diverse population densities,examining medium and high-density *** utilizing a multi-objective genetic optimization approach,the urban morphology of these blocks is *** findings indicate that low-density blocks exhibit photovoltaic potential ranging from 1 to 6.6 times their total energy *** and high-density blocks achieve photovoltaic potential levels approximately equivalent to 40%-85%of their overall energy ***,significant variations in photovoltaic potential are observed among different urban forms within medium and high-density ***“elevated corners with central valley”prototype is proposed as an effective approach,enhancing the overall photovoltaic potential by approximately 14%.This study introduces novel analytical concepts,shedding light on the intricate relationship between urban morphologies and photovoltaic potential.

关键词： net-zero energy solar energy urban density urban morphology multi-objective optimization photovoltaic potential

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Impact of COVID-19 on the energy consumption of commercial buildings:A case study in Singapore

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Energy and Built Environment 2024年第3期5卷 364-373页

作者： Senhong Cai Zhonghua gou School of Urban Design Wuhan UniversityWuhanChina

Numerous studies have demonstrated that commercial activities have significantly reduced during COVID-19,while there are few studies disclosing the consequent impacts on the energy consumption of commercial *** study explores the changes in energy consumption of different types of commercial buildings in Sin-gapore under the impact of the pandemic,using commercial building energy performance data from 2017 to 2020(n=540).The sampled buildings include 93 hotel buildings,303 office buildings,106 retail buildings,and 38 mixed *** analysis mainly used linear regression and paired sample *** results showed that relative to 2019,the mean energy use intensity(EUI)of sampled commercial buildings decreased by 56.77 kWh/m^(2)in the pandemic year(2020),a plunge of 19.9%.The extent to which the EUI of each type of commercial building is affected by the pandemic is found as:mixed development>retail>office>*** study also identi-fied the factors that significantly influenced the EUI of commercial buildings before and during the *** results of the study complement existing knowledge about the factors influencing energy consumption in com-mercial buildings by considering the impact of the pandemic and furthermore contribute to the improvement of energy management in commercial buildings by providing directions for building energy efficiency approaches.

关键词： Commercial buildings Energy consumption Energy use intensity Impact of COVID-19 Influential factors

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A Tightly Coupled Dipole Array with Diverse Element Reflection Phases for RCS Reduction

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Chinese Journal of Electronics 2024年第2期33卷 449-455页

作者： Yuewen gou Yikai CHEN Shiwen YANG University of Electronic Science and Technology of China

This paper proposes a novel low scattering tightly coupled dipole array(TCDA), aiming to reduce the radar cross section(RCS) of phased antenna arrays under a certain oblique incident wave. First, we build three types of antenna elements that exhibit similar radiation characteristics but diverse reflection phase differences based on the proposed theoretical analysis. The required reflection phase difference is achieved by using different dielectric superstrates for each antenna element. Then, by arranging the three types of subarrays next to each other, a low scattering TCDA(8 × 9) is designed. Meanwhile, a reference antenna array with a single type of antenna element is also constructed. To demonstrate the effectiveness of the proposed RCS reduction technique, simulated and measured results of the reference and proposed antenna array are compared. Both antenna arrays operate over the 6–18 GHz frequency band and can scan up to ±45° in the E-/H-planes. However, the proposed antenna array achieves a significant monostatic RCS reduction over 8–12 GHz, with a maximum reduction value of 7.55 d B. It indicates that this diverse element reflection phase technique is a good candidate for wideband RCS reduction.

关键词： Antenna measurements Phased arrays Dipole antennas Antenna theory Scattering Reflector antennas Reflection

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Facile synthesis of composite polyferric magnesium-silicate-sulfate coagulant with enhanced performance in water and wastewater

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International Journal of Minerals,Metallurgy and Materials 2024年第3期31卷 574-584页

作者： Xiangtao Huo Rongxia Chai Lizheng gou Mei Zhang Min Guo School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China

The coagulation process is a widely applied technology in water and wastewater *** composite polyferric mag-nesium-silicate-sulfate(PFMS)coagulants were synthesized using Na_(2)SiO_(3)·9H_(2)O,Fe_(2)(SO_(4))_(3),and MgSO_(4) as raw materials in this *** effects of aging time,Fe:Si:Mg,and OH:M molar ratios(M represents the metal ions)on the coagulation performance of the as-pre-pared PFMS were systematically investigated to obtain optimum *** results showed that PFMS coagulant exhibited good co-agulation properties in the treatment of simulated humic acid-kaolin surface water and reactive dye *** the molar ratio was controlled at Fe:Si:Mg=2:2:1 and OH:M=0.32,the obtained PFMS presented excellent stability and a high coagulation *** removal efficiency of ultraviolet UV254 was 99.81%,and the residual turbidity of the surface water reached 0.56 NTU at a dosage of 30 mg·L^(-1).After standing the coagulant for 120 d in the laboratory,the removal efficiency of UV254 and residual turbidity of the surface wa-ter were 88.12%and 0.68 NTU,respectively,which accord with the surface water treatment *** addition,the coagulation performance in the treatment of reactive dye wastewater was greatly improved by combining the advantages of magnesium and iron *** with polyferric silicate-sulfate(PFS)and polymagnesium silicate-sulfate(PMS),the PFMS coagulant played a better decolor-ization role within the pH range of 7-13.

关键词： polyferric-magnesium-silicate-sulfate composite coagulants water and wastewater excellent stability high coagulation ef-ficiency decolorization

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Frontiers of Computer Science 2024年第3期18卷 227-229页

作者： Qianwen gou Yunwei DONG YuJiao WU Qiao KE School of Computer Science Northwestern Polytechnical UniversityXi’an 710129China School of Mathematics and Statistics Northwestern Polytechnical UniversityXi’an 710129China

1 Introduction Program retrieval aims to enable the flexible retrieval of program snippets based on a natural language query,significantly accelerating software development *** shows that over 60%of developers perform program retrieval daily[1].Recent years have witnessed an increasing interest in deep learning-based program retrieval,which aims to construct embedding representations for program snippets and ***,the distribution of natural languages and programs is inconsistent,resulting in a semantic *** critical challenge is to bridge the semantic gap between the programming language and natural language,and accurately measure their similarity.

关键词： semantic similarity retrieval

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MMCo:using multimodal deep learning to detect malicious traffic with noisy labels

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Frontiers of Computer Science 2024年第1期18卷 239-241页

作者： Qingjun YUAN Gaopeng gou Yuefei ZHU Yongjuan WANG Strategic Support Force Information Engineering University Zhengzhou 450001China Institute of Information Engineering Chinese Academy of SciencesBeijing 100093China

1 Introduction The success of a deep learning-based network intrusion detection systems(NIDS)relies on large-scale,labeled,realistic traffic[1,2].However,automated labeling of realistic traffic,such as by sandbox and rule-based approaches,is prone to errors[3],which in turn affects deep learning-based *** effective schemes for learning with noisy labels(LNL)have been proposed,among which the use of parallel networks for sample selection during training has been shown to be *** is argued that parallel networks can discriminate samples from different perspectives,thus adding additional information to the training *** centerpiece is maintaining disagreement of networks.

关键词： network networks modal

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多尺度全局自适应注意力图神经网络

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计算机科学与探索 2023年第12期17卷 3039-3051页

作者：苟茹茹杨文柱罗梓菲原云峰河北大学网络空间安全与计算机学院河北保定071002 河北大学河北省机器视觉工程研究中心河北保定071002

针对动态多尺度图神经网络的编解码网络中存在的身体部位内部关节点间关联度不高和感受野受限制导致运动预测误差偏高的问题,提出了一种用于人体运动预测的多尺度全局自适应注意力图神经网络,降低运动预测误差。提出了一种划分骨架关节... 详细信息

针对动态多尺度图神经网络的编解码网络中存在的身体部位内部关节点间关联度不高和感受野受限制导致运动预测误差偏高的问题,提出了一种用于人体运动预测的多尺度全局自适应注意力图神经网络,降低运动预测误差。提出了一种划分骨架关节点的多距离分区策略,用于提高身体部位关节点信息在时间和空间上的关联程度;提出了全局自适应注意力时空卷积神经网络,以动态地加强网络对某一动作有贡献的时空关节点的关注度;将上述两处改进集成到图卷积神经网络门控循环单元中,以增强解码网络的状态传播性能,并降低预测误差。实验表明,与最新方法相比,该方法在Human 3.6M、CMU Mocap和3DPW数据集上的预测误差都有所下降。

关键词：运动预测多距离分区策略全局自适应注意力时空图卷积神经网络门控循环单元

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Designing metal-organic framework fiber network reinforced polymer electrolytes to provide continuous ion transport in solid state lithium metal batteries

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Nano Research 2024年第4期17卷 2719-2727页

作者： Wanqing Fan Ying Huang Meng Yu Kaihang She Jingren gou Zheng Zhang MOE Key Laboratory of Material Physics and Chemistry Under Extraordinary Conditions School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Beijing Key Laboratory of Membrane Materials and Engineering Department of Chemical EngineeringTsinghua UniversityBeijing 100084China

Polyethylene oxide(PEO)-based solid-state electrolytes are considered ideal for electrolyte materials in solid-state lithium metal batteries(SSLMBs).However,practical applications are hindered by the lower conductivity and poor interfacial ***,we propose a strategy to construct a three-dimensional(3D)fiber network of metal-organic frameworks(MOFs).Composite solid electrolytes(CSEs)with continuous ion transport pathways were fabricated by filling a PEO polymer matrix in fibers containing interconnected *** 3D fiber network provides a fast Li+transport path and effectively improves the ionic conductivity(1.36×10^(-4) S·cm^(-1),30℃).In addition,the network of interconnected MOFs not only effectively traps the anions,but also provides sufficient mechanical strength to prevent the growth of Li *** from the advantages of structural design,the CSEs stabilize the Li/electrolyte interface and extend the cycle life of the Li-symmetric cells to 3000 *** assembled SSLMBs exhibit excellent cycling performance at both room and high *** addition,the constructed pouch cells can provide an areal capacity of 0.62 mA·h·cm^(-2),which can still operate under extreme *** work provides a new strategy for the design of CSEs with continuous structure and stable operation of SSLMBs.

关键词： polyethylene oxide(PEO) solid-state lithium metal batteries(SSLMBs) three-dimensional fiber network composite solid electrolytes(CSEs)

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