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Chinese Journal of Mechanical Engineering 2022年第6期35卷 165-177页

作者： Hongfei Guo Linsheng Zhang Yaping Ren Leilei Meng Zhongwei Zhou Jianqing Li GBA and B&R International Joint Research Center for Smart Logistics School of Intelligent Systems Science and EngineeringInstitute of Physical InternetJinan University(Zhuhai Campus)Zhuhai 519070China School of Computer Science Liaocheng UniversityLiaocheng 252059China Faculty of Information Technology Macao University of Science and TechnologyMacao 999078China

The recycling and remanufacturing of end-of-life products are significant for environmental protection and resource conservation.Disassembly is an essential process of remanufacturing end-of-life products.Effective disassembly plans help improve disassembly efficiency and reduce disassembly costs.This paper studies a disassembly planning problem with operation attributes,in which an integrated decision of the disassembly sequence,disassembly directions,and disassembly tools are made.Besides,a mathematical model is formulated with the objective of minimizing the penalty cost caused by the changing of operation attributes.Then,a neighborhood modularization-based artificial bee colony algorithm is developed,which contains a modular optimized design.Finally,two case studies with different scales and complexities are used to verify the performance of the proposed approach,and experimental results show that the proposed algorithm outperforms the two existing methods within an acceptable computational time.

关键词： End-of-life products Disassembly planning Artificial bee colony Neighborhood modularization

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Method for wheat ear counting based on frequency domain decomposition of MSVF-ISCT

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Information Processing in Agriculture 2023年第2期10卷 240-255页

作者： Wenxia Bao Ze Lin Gensheng Hu Dong Liang linsheng Huang Xin zhang National Engineering Research Center for Agro-ecological Big Data Analysis and Application Anhui UniversityHefei 230601China

Wheat ear counting is a prerequisite for the evaluation of wheat yield.A wheat ear counting method based on frequency domain decomposition is proposed in this study to improve the accuracy of wheat yield estimation.The frequency domain decomposition of wheat ear image is completed by multiscale support value filter(MSVF)combined with improved sampled contourlet transform(ISCT).Support Vector Machine(SVM)is the classic classification and regression algorithm of machine learning.MSVF based on this has strong frequency domain filtering and generalization ability,which can effectively remove the complex background,while the multi-direction characteristics of ISCT enable it to represent the contour and texture information of wheat ears.In order to improve the level of wheat yield prediction,MSVF-ISCT method is used to decompose the ear image in multiscale and multi direction in frequency domain,reduce the interference of irrelevant information,and generate the sub-band image with more abundant information components of ear feature information.Then,the ear feature is extracted by morphological operation and maximum entropy threshold segmentation,and the skeleton thinning and corner detection algorithms are used to count the results.The number of wheat ears in the image can be accurately counted.Experiments show that compared with the traditional algorithms based on spatial domain,this method significantly improves the accuracy of wheat ear counting,which can provide guidance and application for the field of agricultural precision yield estimation.

关键词： Wheat ear counting Frequency domain decomposition Multiscale support value filter Improved sampled contourlet transform Image segmentation Morphological processing

A Study on the Distribution and Utilization of Recreational Resources Along the Grand Canal Culture Belt

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Chinese Journal of Urban and Environmental Studies 2019年第4期07卷 26-40页

作者： zhang Fei YANG linsheng LUO Xiao Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences University of Chinese Academy of Sciences Culture and Tourism Department of Henan Province

With the construction of Grand Canal Culture Belt being upgraded to a national strategy,the authors used GIS and other analytical techniques to give an overview of 2,834 recreational resource points distributed in 49 prefecture-level administrative units of eight provinces or cities along the Grand Canal Culture Belt,analyzed the features of their quantitative and spatial distribution,finding that:(ⅰ) the recreational resources along the Grand Canal are spatially related to the major river systems,lakes and arteries of communication;(ⅱ) the recreational resources along the Grand Canal are generally distinguished by a spatial agglomeration of "two poles and two subcenters",in which the natural recreational resources are distributed in the pattern of "three points and one line" while the cultural recreational resources are distributed with a notable feature of polarization.On that basis,the authors proposed several suggestions about the utilization of recreational resources along the Grand Canal Culture Belt:(ⅰ) Establishing a system of diversified recreational products by adapting to local conditions;(ⅱ) building national scenic byways along the Grand Canal by relying on major river systems and arteries of communication;(ⅲ) giving priority to the development of four recreational sections of the Grand Canal and foster core growth poles.

关键词： Recreational resources distribution utilization Grand Canal Culture Belt

Recreation ecology research in China’s protected areas:progress and prospect

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Ecosystem Health and Sustainability 2020年第1期6卷 511-522,510页

作者： linsheng Zhong Xiangju zhang Jinyang Deng Chad Pierskalla Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Department of Culture and Tourism Guizhou Normal CollegeGuiyangChina Department:School of Natural Resources West Virginia UniversityMorgantownWVUSA

As a type of tourist destination,Protected Areas(PAs)have been the focus of recreation ecology research since their establishment.The contradiction between recreation and ecological protection of PAs in China is more prominent than in other countries because of China’s large population density and complex PA management system.Thus,a review of related research is urgent for promoting sustainable tourism development of PAs in China.Combining quantitative analysis with a literature review,this study analyzed the historical development process and current research topics of recreation ecology in China’s PAs,focusing on the impacts of tourism on the natural environment,environmental management of tourism,and the development of different types of sustainable tourism in PAs.Overall,the research gaps are as follows:(1)studies on impact mechanism of tourism based on long-term monitoring are lacking;(2)the existence of numerous local communities in most of the PAs in China is usually ignored;(3)insufficient attention has been paid to the impacts of tourism infrastructure construction;(4)assessments of sustainable PA tourism are lacking.Correspondingly,this paper presents implications for future research and serves as a reference for PA tourism management in other countries.

关键词： Recreation ecology protected area China sustainable tourism

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关于完成体语言类型学研究的思考

外语教学与研究 2024年第3期56卷 370-380,479页

作者：张麟声厦门大学嘉庚学院

Dahl&Velupillai(2013)是关于完成体(perfect)语言类型学的大规模调查成果。本文认为Dahl和Velupillai通过结果性和经历性两种用法来界定完成体不失为一种可行的研究方法,但把日语列为无完成体语言的做法有待商榷。本文通过对比日语标... 详细信息

Dahl&Velupillai(2013)是关于完成体(perfect)语言类型学的大规模调查成果。本文认为Dahl和Velupillai通过结果性和经历性两种用法来界定完成体不失为一种可行的研究方法,但把日语列为无完成体语言的做法有待商榷。本文通过对比日语标准语与日语方言,论证了前者的“-ている”可以分为表进行体的“-ている1”和表完成体的“-ている2”两种形式,其中“-ている2”具有表结果性和经历性两种用法,并且与日语宇和岛方言、喀尔喀蒙古语、布里亚特蒙古语、埃文基语的完成体一样,都具有“动词词干+黏合性小词+存在动词”结构。在此基础上,本文主张应该为此类语言建立一个名为“源于存在动词的完成体”(perfect of existential verb)的新类型。

关键词：结果性用法经历性用法完成体进行体

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Assessing and characterizing oilseed rape freezing injury based on MODIS and MERIS data

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International Journal of Agricultural and Biological Engineering 2017年第3期10卷 143-157页

作者： She Bao Huang Jingfeng zhang Dongyan Huang linsheng Institute of Agricultural Remote Sensing and Information Technology Application Zhejiang UniversityHangzhou 310058China Key Laboratory of Agricultural Remote Sensing and Information System Zhejiang ProvinceHangzhou 310058China Key Laboratory of Environment Remediation and Ecological Health Ministry of EducationHangzhou 310058China Anhui Engineering Laboratory of Agro-ecological Big Data Anhui UniversityHefei 230601China

The oilseed rape growing in the lower reaches of Yangtze River in China belongs to winter varieties and suffers the risk of freezing injury.In this research,a typical freezing injury event occurred in Anhui Province was taken as a case study,the freezing damage degree of oilseed rape was assessed,and its development characteristics based on the vegetation metrics derived from MODIS and MERIS data were investigated.The oilseed rape was mapped according to the decline of greenness from bud stage to full-bloom period,with the phenological phases identified adopting time-series analyses.NDVI was more sensitive to freezing injury compared with other commonly used vegetation indices(VIs)calculated using MODIS bands,e.g.,EVI,GNDVI and SAVI.The freezing damage degree employing the difference between post-freeze growth and the baseline level in adjacent damage-free growing seasons was determined.The remote sensing-derived damage levels were supported by their correlation with the cold accumulated temperatures at the county level.The performance of several remote sensing indicators of plant biophysical and biochemical parameters was also investigated,i.e.,the photosynthetic rate,canopy water status,canopy chlorophyll content,leaf area index(LAI)and the red edge position(REP),in response to the advance of the freezing damage.It was found that the photosynthetic rate indicator—Photochemical Reflectance Index(PRI)responded strongly to freezing stress.Freezing injury caused canopy water loss,which could be detected though the magnitude was not very large.MERIS-LAI showed a slow and lagging response to low temperature and restored rapidly in the recovery phase;additionally,REP and the indicator of canopy chlorophyll content—MERIS Terrestrial Chlorophyll Index(MTCI),did not appear to be influenced by freezing injury.It was concluded that the physiological functions,canopy structure,and organic content metrics showed a descending order of vulnerabilities to freezing injury.

关键词： Brassica napus oilseed rape freezing injury crop monitoring MODIS MERIS

Wavelet-based threshold denoising for imaging hyperspectral data

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International Journal of Agricultural and Biological Engineering 2014年第3期7卷 36-42页

作者： Yang Hao zhang Dongyan Huang linsheng Zhao Jinling Key Laboratory of Agricultural Information Technology Ministry of AgricultureBeijing 100081China Beijing Research Center for Information Technology in Agriculture Beijing 100097China College of Electronic and Information Engineering Anhui UniversityHefei 230601China

Imaging spectroradiometer is highly susceptible to noise.Accurately quantitative processing with higher quality is obligatory before any derivative analysis,especially for precision agricultural application.Using the self-developed Pushbroom Imaging Spectrometer(PIS),a wavelet-based threshold(WT)denoising method was proposed for the PIS imaging hyperspectral data.The WT with PIS was evaluated by comparing with other popular denoising methods in pixel scale and in regional scale.Furthermore,WT was validated by chlorophyll concentration retrieval based on red-edge position extraction.The result indicated that the determination coefficient R2 of the chlorophyll concentration inversion model of winter wheat leaves was improved from 0.586 to 0.811.It showed that the developed denoising method allowed effective denoising while maintaining image quality,and presented significant advantages over conventional methods.

关键词： wavelet denoising spectral domain Pushbroom Imaging Spectrometer red edge position

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基于非线性超声理论的销轴连接承载状态监测

振动．测试与诊断 2023年第3期43卷 609-614,626页

作者：霍林生张晨晨大连理工大学海岸和近海工程国家重点实验室大连116024

针对传统线性超声方法对于界面接触状态的微小改变不敏感的问题,提出了基于非线性超声理论的销轴连接承载状态监测方法。首先,分别在销轴和耳板上各安装1个压电陶瓷片用于发射和接收超声波信号,利用非线性超声理论分析接收信号的2次谐... 详细信息

针对传统线性超声方法对于界面接触状态的微小改变不敏感的问题,提出了基于非线性超声理论的销轴连接承载状态监测方法。首先,分别在销轴和耳板上各安装1个压电陶瓷片用于发射和接收超声波信号,利用非线性超声理论分析接收信号的2次谐波来识别销轴连接的荷载;其次,对超声波在销轴和耳板间的传播机理进行理论研究,基于粗糙界面的接触声学非线性原理建立了线性和非线性特征参数与界面压力之间的关系;最后,通过销轴连接装置的试验研究,对理论分析结果进行验证。结果表明,线性特征参数无法识别出销轴连接状态的微小改变,而基于2次谐波的非线性特征参数能有效识别全部试验荷载工况下销轴连接状态的改变。

关键词：销轴监测压电陶瓷非线性超声 2次谐波

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Detection of scab in wheat ears using in situ hyperspectral data and support vector machine optimized by genetic algorithm

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International Journal of Agricultural and Biological Engineering 2020年第2期13卷 182-188页

作者： linsheng Huang Hansu zhang Chao Ruan Wenjiang Huang Tingguang Hu Jinling Zhao National Engineering Research Center for Agro-Ecological Big Data Analysis&Application Anhui UniversityHefeiChina Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina

A new method was proposed to extract sensitive features and to construct a monitoring model for wheat scab based on in situ hyperspectral data of wheat ears to achieve effective prevention and control and provide theoretical support for its large-scale monitoring.Eight sensitive features were selected through correlation analysis and wavelet transform.These features were as follows:three original bands of 350-400 nm,500-600 nm,and 720-1000 nm;three vegetation indices of modified simple ratio(MSR),normalized difference vegetation index,and structural independent pigment index;and two wavelet features of WF01 and WF02.By combining the selected sensitive features with support vector machine(SVM)and SVM optimized by genetic algorithm(GASVM),a total of 16 monitoring models were built,and the monitoring accuracies of the two types of models were compared.The ability of the monitoring models built by GASVM to identify scab was better than that of SVM algorithm under the same characteristic variables.Among the 16 models,MSR combined with GASVM had an overall accuracy of 75%and a Kappa coefficient of 0.47.GASVM can be used to monitor wheat scab and its application can improve the accuracy of disease monitoring.

关键词： wheat scab hyperspectral data correlation analysis genetic algorithm wavelet transform support vector machine

Identification and mapping of soybean and maize crops based on Sentinel-2 data

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International Journal of Agricultural and Biological Engineering 2020年第6期13卷 171-182页

作者： Bao She Yuying Yang Zhigen Zhao linsheng Huang Dong Liang Dongyan zhang School of Geomatics Anhui University of Science&TechnologyHuainan 232001AnhuiChina National Engineering Research Center for Agro-Ecological Big Data Analysis&Application Anhui UniversityHefei 230601China

Soybean and maize are important raw materials for the production of food and livestock feed.Accurate mapping of these two crops is of great significance to crop management,yield estimation,and crop-damage control.In this study,two towns in Guoyang County,Anhui Province,China,were selected as the study area,and Sentinel-2 images were adopted to map the distributions of both crops in the 2019 growing season.The data obtained on August 18(early pod-setting stage of soybean)was determined to be the most applicable to soybean and maize mapping by means of the Jeffries-Matusita(JM)distance.Subsequently,three machine-learning algorithms,i.e.,random forest(RF),support vector machine(SVM)and back-propagation neural network(BPNN)were employed and their respective performance in crop identification was evaluated with the aid of 254 ground truth plots.It appeared that RF with a Kappa of 0.83 was superior to the other two methods.Furthermore,twenty candidate features containing the reflectance of ten spectral bands(spatial resolution at 10 m or 20 m)and ten remote-sensing indices were input into the RF algorithm to conduct an important assessment.Seven features were screened out and served as the optimum subset,the mapping results of which were assessed based on the ground truth derived from the unmanned aerial vehicle(UAV)images covering six ground samples.The optimum feature-subset achieved high-accuracy crop mapping,with a reduction of data volume by 65%compared with the total twenty features,which also overrode the performance of ten spectral bands.Therefore,feature-optimization had great potential in the identification of the two crops.Generally,the findings of this study can provide a valuable reference for mapping soybean and maize in areas with a fragmented landscape of farmland and complex planting structure.

关键词： soybean and maize crop identification Sentinel-2 data machine learning feature selection