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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 fields.With 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 methods.Semantic segmentation methods have revolutionized the development of agricultural automation and are commonly used for crop cover and type analysis,pest and disease identification,etc.We frst give a review of the recent advances in traditional and deep learning methods for semantic segmentation of agricultural images according to different segmentation principles.Then we introduce the traditional methods that can effectively utilize the original image information and the powerful performance of deep learningbased methods.Finally,we outline their applications in agricultural image segmentation.In our literature,we identify the challenges in agricultural image segmentation and summarize the innovative developments that address these challenges.The robustness of the existing segmentation methods for processing complex images still needs to be improved urgently,and their generalization abilities are also insufficient.In particular,the limited number of labeled samples is a roadblock to new developed deep learning methods for their training and evaluation.To this,segmentation methods that augment the dataset or incorporate multimodal information enable deep learning methods to further improve the segmentation capabilities.This 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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Bibliometric study and critical individual literature review of driving behavior analysis methods based on brain imaging from 1993 to 2022

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 762-786页

作者： Yunjie Ju Feng Chen xiaonan li Dong lin Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji UniversityShanghai 201804China School of Engineering University of AberdeenAberdeen AB243FXUK

Brain imaging methods have effectively revealed drivers’underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction.With research no longer limited to indirect inferences about external behavior,some researchers combine behavior and driver brain activity to understand the human factors in driving essentially.However,most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used.This paper aims to review and analyze the application of brain imaging methods in driving behavior research,including bibliometric analysis and an individual critical literature review.Regarding bibliometric analysis,this field’s knowledge structure and development trend are described macroscopically,using data such as annual distribution of publications,country/region statistics and partnerships,publication sources,literature co-citation analysis,and keyword co-occurrence analysis.In a review of the individual critical literature,eight research themes were identified that examined driving behavior using brain imaging methods:substance consumption,fatigue or sleep deprivation,workload,distraction,aging brains,brain impairment and other diseases,automated/semi-automated environments,emotions influence and risk-taking,and general driving process.In addition,the study reports on six brain imaging methods and their advantages and disadvantages,involving electroencephalography(EEG),functional magnetic resonance imaging(fMRI),functional near-infrared spectroscopy(fNIRS),magnetoencephalography(MEG),positron emission tomography(PET),and transcranial magnetic stimulation(TMS).The contribution of this study is twofold.The first part relates to providing the researchers with a comprehensive understanding of the field’s knowledge structure and development trends.The second part goes beyond reviewing and analyzing previous studies,and the discussion section points out the directions and challenges for future re

关键词： Driving behavior analysis Brain imaging methods Bibliometric analysis Human factors

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WGDI:A user-friendly toolkit for evolutionary analyses of whole-genome duplications and ancestral karyotypes

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Molecular Plant 2022年第12期15卷 1841-1851页

作者： Pengchuan Sun Beibei Jiao Yongzhi Yang Lanxing Shan Ting li xiaonan li Zhenxiang Xi Xiyin Wang Jianquan liu Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education and State Key Laboratory of Hydraulics and Mountain River Engineering College of Life SciencesSichuan UniversityChengduChina Center for Genomics and Bio-computing North China University of Science and TechnologyTangshanHebeiChina State Key Laboratory of Grassland Agro-Ecosystem College of EcologyLanzhou UniversityLanzhouChina

Evidence of whole-genome duplications(WGDs)and subsequent karyotype changes has been detected in most major lineages of living organisms on Earth.To clarify the complex resulting multi-layered patterns of gene collinearity in genome analyses,there is a need for convenient and accurate toolkits.To meet this need,we developed WGDI(Whole-Genome Duplication Integrated analysis),a Python-based command-line tool that facilitates comprehensive analysis of recursive polyploidization events and cross-species genome alignments.WGDI supports three main workflows(polyploid inference,hierarchical inference of genomic homology,and ancestral chromosome karyotyping)that can improve the detection of WGD and characterization of WGD-related events based on high-quality chromosome-level genomes.Significantly,it can extract complete synteny blocks and facilitate reconstruction of detailed karyotype evolution.This toolkit is freely available at GitHub(https://***/SunPengChuan/wgdi).As an example of its application,WGDI convincingly clarified karyotype evolution in Aquilegia coerulea and Vitis vinifera following WGDs and rejected the hypothesis that Aquilegia contributed as a parental lineage to the allopolyploid origin of core dicots.

关键词： WGDI polyploidy collinearity inference of hierarchical and event-related gene collinearity ancestral chromosome karyotype

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Spatial variability of soil moisture in a mining subsidence area of northwest China

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International Journal of Coal Science & Technology 2022年第5期9卷 160-171页

作者： Lu Bai Yajing Wang Kai Zhang Yingming Yang Kaikai Bao Jiangang Zhao xiaonan li School of Chemical and Environmental Engineering China University of Mining and TechnologyBeijing 100083China State Key Laboratory of Water Resource Protection and Utilization in Coal Mining Beijing 102211China

The current study investigated the impact of coal mining on deep soil moisture from the perspective of the absolute value of soil moisture.A combined classical statistics and multi-dimensional geo-statistics approach was employed to analyze the temporal and spatial changes in soil moisture from 0 to 10 m in the mining face of the Nalin River No.2 Mine in Northwest China from the perspective of spatial variability.The results of the study show that compared with the control area,the average value of soil moisture in 1-and 2-year subsidence areas decreased by 1.18%and 0.96%,respectively,whereas the coefcient of variation increased by 17.92%and 3.63%,respectively.Interpolation of soil moisture spatial distribution results showed that the spatial variability of soil moisture in the control area was less than that in the subsidence areas,and the spatial variability of soil moisture in the 2-year subsidence area was less than that in the 1-year subsidence area,indicating that mining increases the spatial variability of soil moisture and that the degree of spatial variability of soil moisture decreases as the subsidence enters the stable period.These results provide evidence for the mechanism by which coal mining subsidence afects soil moisture.Preferential fow caused by surface cracks,soil texture,the soil pore microstructure,and other factors in the coal mining subsidence area are the primary drivers of the increase in spatial variability of soil moisture.

关键词： soil moisture subsidence

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Group relational privacy protection on time-constrained point of interests

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Frontiers of Computer Science 2023年第3期17卷 239-241页

作者： Bo NING xiaonan li Fan YANG Yunhao SUN Guanyu li George Y.YUAN Faculty of Information Science and Technology Dalian Maritime UniversityDalian 116026China Faculty of Software Dalian University of Foreign LanguagesDalian 116044China Thinvent Digital Technology Co. Ltd.Nanchang 330029China

1 Introduction With the rapid development of mobile networks,locationbased services has become popular in the daily lives of people.The service providers can recommend the profitable services to persons through mining the frequent interests or places of persons.However,one aspect is that the historical data on Internet can easily cause the leakage of user-relationship privacy,another aspect is that the historical interests of person are always bound to time.Therefore,this paper devotes to study a privacy protection method on time-constrained point of interests(PoIs)based on the group relationships of users.

关键词： services relational constrained

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Prognostic value of high-frequency oscillations combined with multimodal imaging methods for epilepsy surgery

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Chinese Medical Journal 2022年第9期135卷 1087-1095页

作者： Xiaoming Yan Fangzhao Yin Cuiping Xu Tao Yu xiaonan li Wei Wang Xi Zhang Kai Ma Guojun Zhang Beijing Institute of Functional Neurosurgery Xuanwu HospitalCapital Medical UniversityBeijing 100053China Beijing Institute of Brain Disorders Laboratory of Brain DisordersMinistry of Science and TechnologyCollaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijing 100069China Bioland Laboratory Guangzhou Regenerative Medicine and Health Guangdong Laboratory GuangzhouGuangdong 510005China

Background:The combination of high-frequency oscillations(HFOs)with single-mode imaging methods has been proved useful in identifying epileptogenic zones,whereas few studies have examined HFOs combined with multimodal imaging methods.The aim of this study was to evaluate the prognostic value of ripples,an HFO subtype with a frequency of 80 to 200 Hz is combined with multimodal imaging methods in predicting epilepsy surgery outcome.Methods:HFOs were analyzed in 21 consecutive medically refractory epilepsy patients who underwent epilepsy surgery.All patients underwent positron emission tomography(PET)and deep electrode implantation for stereo-electroencephalography(SEEG);11 patients underwent magnetoencephalography(MEG).Sensitivity,specificity,positive predictive value,negative predictive value,and accuracy in predicting surgical outcome were calculated for ripples combined with PET,MEG,both PET and MEG,and PET combined with MEG.Kaplan-Meier survival analyses were conducted in each group to estimate prognostic value.Results:The study included 13 men and 8 women.Accuracy for ripples,PET,and MEG alone in predicting surgical outcome was 42.9%,42.9%,and 81.8%,respectively.Accuracy for ripples combined with PET and MEG was the highest.Resection of regions identified by ripples,MEG dipoles,and combined PET findings was significantly associated with better surgical outcome(P<0.05).Conclusions:Intracranial electrodes are essential to detect regions which generate ripples and to remove these areas which indicate good surgical outcome for medically intractable epilepsy.With the assistance of presurgical noninvasive imaging examinations,PET and MEG,for example,the SEEG electrodes would identify epileptogenic regions more effectively.

关键词： High-frequency oscillations Ripples PET MEG Epileptogenic zone

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Wear Behavior of the Uniformly Dispersed Carbon Nanotube Reinforced 6061Al Composite Fabricated by Milling Combined with Powder Metallurgy

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Acta Metallurgica Sinica(English Letters) 2022年第11期35卷 1765-1776页

作者： xiaonan li Zhenyu liu Zhixin Dai Hui Feng Bolyu Xiao Dingrui Ni Quanzhao Wang Dong Wang Zongyi Ma School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China

The uniformly dispersed carbon nanotubes(CNTs) reinforced 6061Al composites(CNT/6061Al) with diff erent CNT concentrations were fabricated by powder metallurgy technology. It was found that the friction coe ffi cient as well as wear rate decreased fi rst and then increased as the CNT concentration increasing under 15 N as well as 30 N, and the minimum wear rate was achieved at the CNT concentration of 2 wt%. Adhesive wear and abrasive wear were the dominated wear mechanisms for the 1–2 wt% CNT/6061Al composites under 15 N and 30 N, while the delamination occurred on the wear surface at 3wt% CNT. As the applied load increased to 60 N, the wear rate of composites increased dramatically. The wear mechanism transformed from abrasive wear to severe delamination wear, accompanied by the generation of wear debris with sharp edge due to the weaker anti-shearing strain capacity of CNT/6061Al composites.

关键词： Wear mechanism Carbon nanotube Aluminum matrix composites Powder metallurgy

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媒介创新与现实表达——中国当代影像艺术

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美术 2024年第6期 15-23页

作者：李笑男中国人民大学艺术学院

本文系统梳理了基于媒介技术发展背景下的中国影像艺术之路,从早期围绕录像媒介的记录性与时间性展开的媒介实验,到叙事性影像艺术的语言创新,互动影像与影像装置的多元实践,以及基于互联网、动画、游戏等不同媒介形式的影像艺术新发展... 详细信息

本文系统梳理了基于媒介技术发展背景下的中国影像艺术之路,从早期围绕录像媒介的记录性与时间性展开的媒介实验,到叙事性影像艺术的语言创新,互动影像与影像装置的多元实践,以及基于互联网、动画、游戏等不同媒介形式的影像艺术新发展,探索科技赋能艺术的多重路径。媒介技术的更新与影像艺术的发展存在着互为表里的关系,不断拓展着艺术再现现实的边界。科技与艺术融合发展的多元实践及其思考,有助于更新艺术现实、释放艺术生产力。

关键词：影像艺术新媒体当代艺术科技艺术

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数字经济背景下公共数据开放安全治理

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济南大学学报（社会科学版） 2024年第2期34卷 75-85,174页

作者：李晓楠郑州大学法学院河南郑州450001

公共数据类别多元化、开放方式多样性与普惠性要求与数据安全治理具有天然的紧张冲突。当前公共数据开放安全治理存在多重局限,包括强调公共部门而忽视社会主体的安全治理责任,安全保护义务的宣示化,技术规范的缺失,难以满足公共数据要... 详细信息

公共数据类别多元化、开放方式多样性与普惠性要求与数据安全治理具有天然的紧张冲突。当前公共数据开放安全治理存在多重局限,包括强调公共部门而忽视社会主体的安全治理责任,安全保护义务的宣示化,技术规范的缺失,难以满足公共数据要素化下的安全治理需求。从消解公共数据开放与安全的冲突出发,针对公共数据开放的特征应注重回应性的安全治理。在方法论上强调合作治理、比例治理和技术治理;在治理机制上注重从公共数据梯度开放、安全义务的比例分配、技术治理的规范保障与安全合作治理的机制跟进等方面进行适应性的完善。

关键词：公共数据开放促进型行政场景理论数据安全

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Iodine（Ⅲ） reagent（ABX–N3）-induced intermolecular anti-Markovnikov hydroazidation of unactivated alkenes

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Science China Chemistry 2019年第11期62卷 1537-1541页

作者： xiaonan li Pinhong Chen Guosheng liu State Key Laboratory of Organometallic Chemistry Center for Excellence in Molecular Synthesis Shanghai Institute of Organic ChemistryUniversity of Chinese Academy of Sciences Chinese Academy of Sciences

Anti-Markovnikov hydroazidation of unactivated alkenes using ABX–N3 as an initiator has been developed at room temperature,wherein hydrogen azide(HN3)acts as both hydrogen and azidating agent.Notably,the HN3 reagent was generated from azidotrimethylsilane(TMSN3)and acetic acid in situ.The reaction itself displays broad substrate scope,good yields and excellent regioselectivities.

关键词： anti-Markovnikov hydroazidation iodine(Ⅲ) reagent(ABX–N3) unactivated alkenes

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