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Online quantitative analysis of soluble solids content in navel oranges using visible-nearinfrared spectroscopy and variable selection methods

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Journal of Innovative Optical Health Sciences 2014年第6期7卷 1-8页

作者： yande liu Yanrui Zhou Yuanyuan Pan Institute of Optics-Mechanics-Electronics Technology and Application(OMETA) School of Mechanical and Electronical Engineering East China Jiaotong University Nanchang 330013P.R.China

Variable selection is applied widely for visible-near infrared(Vis-NIR)spectroscopy analysis of internal quality in *** spectral variable selection methods were compared for online quantitative analysis of soluble solids content(SSC)in navel *** window partial least squares(MW-PLS),Monte Carlo uninformative variables elimination(MC-UVE)and wavelet transform(WT)combined with the MC-UVE method were used to select the spectral variables and develop the calibration models of online analysis of SSC in navel *** performances of these methods were compared for modeling the Vis NIR data sets of navel orange *** show that the WT-MC-UVE methods gave better calibration models with the higher correlation cofficient(r)of 0.89 and lower root mean square error of prediction(RMSEP)of 0.54 at 5 fruits per *** concluded that Vis NIR spectroscopy coupled with WT-MC-UVE may be a fast and efective tool for online quantitative analysis of SSC in navel oranges.

关键词： Vis NIR spectroscopy variables selection soluble solids content wavelet transform moving window paurtial least squares Monte Carlo uninformative variables elimination

Online Monitoring Method for Insulator Self-explosion Based on Edge Computing and Deep Learning

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CSEE Journal of Power and Energy Systems 2022年第6期8卷 1684-1696页

作者： Baoquan Wei Zhongxin Xie yande liu Kaiyun Wen Fangming Deng Pei Zhang State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure East China Jiaotong UniversityNanchang 330013China School of Mechatronics and Vehicle Engineering East China Jiaotong UniversityNanchang 330013China School of Electrical Engineering Beijing Jiaotong UniversityBeijing 10091China

Aiming at the problems of traditional centralized cloud computing which occupies large computing resources and creates high latency,this paper proposes a fault detection scheme for insulator self-explosion based on edge computing and DL(deep learning).In order to solve the high amount of computation brought by the deep neural network and meet the limited computing resources at the edge,a lightweight SSD(Single Shot MultiBox Detector)target recognition network is designed at the edge,which adopts the MobileNets network to replace VGG16 network in the original model to reduce redundant *** the cloud,three detection algorithms(Faster-RCNN,Retinanet,YOLOv3)with obvious differences in detection performance are selected to obtain the coordinates and confidence of the insulator self-explosion area,and then the self-explosion fault detection of the overhead transmission line is realized by a novel multimodel fusion *** experimental results show that the proposed scheme can effectively reduce the amount of uploaded data,and the average recognition accuracy of the cloud is 95.75%.In addition,it only increases the power consumption of edge devices by about 25.6W/h in their working *** with the existing online monitoring technology of insulator selfexplosion at home and abroad,the proposed scheme has the advantages of low transmission delay,low communication cost and high diagnostic accuracy,which provides a new idea for online monitoring research of power internet of things equipment.

关键词： Deep learning edge computing insulator self-explosion online monitoring power inspection

Detection of skin defects on loquat using hyperspectral imaging combining both band radio and improved three-phase level set segmentation method

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Food Quality and Safety 2023年第1期7卷 100-111页

作者： Zhaoyang Han Bin Li Qiu Wang Zhaoxiang Sun yande liu School of Mechatronics&Vehicle Engineering East China Jiaotong UniversityNational and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and EquipmentNanchangChina

Background and objectives Skin defects are one of the primary problems that occur in post-harvest grading and processing of *** defects lead to the loquat being easily destroyed during transportation and storage,which causes the risk of other loquats being infected,affecting the selling *** and Methods In this paper,a method combining band radio image with an improved three-phase level set segmentation algorithm(ITPLSSM)is proposed to achieve high accuracy,rapid,and non-destructive detection of skin defects of *** component analysis(PCA)was used to find the characteristic wavelength and PC images to distinguish four types of skin *** best band ratio image based on characteristic wavelength was *** The band ratio image(Q782/944)based on PC2 image is the best segmented *** on pseudo-color image enhancement,morphological processing,and local clustering criteria,the band ratio image(Q782/944)has better contrast between defective and normal areas in ***,the ITPLSSM was used to segment the processing band ratio image(Q782/944),with an accuracy of 95.28%.Conclusions The proposed ITPLSSM method is effective in distinguishing four types of skin ***,it also effectively segments images with intensity inhomogeneities.

关键词： Loquat skin defects hyperspectral imaging multispectral images band ratio improved three-phase level set segmentation.

Detection of pesticides on navel orange skin by surface-enhanced Raman spectroscopy coupled with Ag nanostructures

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International Journal of Agricultural and Biological Engineering 2016年第2期9卷 179-185页

作者： liu yande Zhang Yuxiang Wang Haiyang Ye Bing Institute of Optics-Mechanics-Electronics Technology and Application East China Jiaotong UniversityNanchang 330013China

Residual pesticides such as phosmet and chlorpyrifos in fruit have become a public concern problem in recent *** this study,surface-enhanced Raman spectroscopy(SERS)was used to detect and characterize pesticides extracted from navel orange *** colloid was prepared for getting the SERS of phosmet and *** Raman signals of phosmet over a concentration range of 5 mg/L to 30 mg/L and chlorpyrifos over a concentration range of 5 mg/L to 20 mg/L were *** least squares(PLS)regression combined with different data preprocessing methods was used to develop quantitative *** the second derivative data preprocessing,the best prediction model of phosmet pesticide was achieved with a correlation coefficient(r)of 0.852 and the root mean square error of prediction(RMSEP)of 5.177 mg/*** best prediction model of chlorpyrifos pesticide was achieved with r of 0.843 and the RMSEP of 2.992 mg/L using the multiplicative scatter correction(MSC)and first derivative data *** study indicated that SERS coupled with Ag nanostructures is a potential tool for analysis of phosmet and chlorpyrifos pesticide residues.

关键词： pesticides residues detection silver colloid surface enhanced Raman spectroscopy navel orange food safety

DETERMINATION OF COPPER,ZINC,CADMIUM AND LEAD IN WATER USING CO-PRECIPITATION METHOD AND RAMAN SPECTROSCOPY

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Journal of Innovative Optical Health Sciences 2013年第3期6卷 58-65页

作者： yande liu YU SHI LIJUN CAI YONG HAO CHUNJIANG ZHAO Institute of Optics-Mechanics-Electronics Technology and Application(OMETA)East China Jiaotong University Nanchang 330013 P.R.China School of Mechanical and Electronical Engineering East China Jiaotong University Nanchang 330013 P.R.China National Engineering Research Center for Information Technology in Agriculture Beijing 100097 P.R.China

Mn co-precipitation method combined with Raman spectroscopy were used to detenmine trace heavy metals(copper,zinc,cadmium and lead)in water *** concentrations of heavy metals including copper,zinc,cadmiun and lead in water samples were separated and enriched by Mn^(2+)-phen SCN-ternary complex 0o-precipitation *** Raman spectra of co-precipitation sediments were collected using confocal micro-Raman *** preprocessing treatments and regression calibration methods were *** best models using partial least squares regression(PLS)of copper,zinc,cadmium and lead were built with a correlation cofficient of prediction(R_(p))of 0.979,0.964,0.956 and 0972,respectively,and the root mean square error of prediction(RMSEP)of 6.587,9.046,9.998 and 7.751 pug/kg,*** co-precipitation procedure combined with Raman spectroscopy method are feasible to detect the amount of heavy metals in water.

关键词： Raman spectroscopy co-precipitation heavy metals partial least squares regression

Nondestructive assessment of quality of Nanfeng mandarin fruit by a portable near infrared spectroscopy

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International Journal of Agricultural and Biological Engineering 2009年第1期2卷 65-71页

作者： Sun Xudong Zhang Hailiang liu yande School of Mechatronics Engineering East China Jiaotong UniversityNanchang 330013China

A portable near infrared spectroscopy system was developed for assessing the quality of Nanfeng mandarin *** hundred and fifty-three Nanfeng mandarin samples were used to measure the performance of the *** pretreatment methods were adopted to process the *** Support Vector Machine(SVM),Back Propagation Neural Network(BPNN)and Partial Least Square(PLS)were used to build models for soluble solids content(SSC),titratable acidity(TA),vitamin C and surface *** best results were obtained by *** correlation coefficient(R)and root mean square error of prediction(RMSEP)were(0.93,0.65°Brix),(0.66,0.09%),(0.81,2.7mg/100g)and(0.57,0.81)for SSC,TA,vitamin C and color,*** results demonstrated that the portable near infrared spectroscopy was feasible for determining the Nanfeng mandarin quality nondestructively.

关键词： Portable near infrared spectroscopy SVM Nanfeng mandarin fruit SSC TA Vitamin C surface color

Rapid printing of 3D porous scaffolds for breast reconstruction

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Bio-Design and Manufacturing 2023年第6期6卷 691-703页

作者： Pengcheng Zhao Biling Wang Lu Wang Zexin Fu Jun Hu yande liu Ji Wang Yong He School of Mechatronics and Vehicle Engineering East China Jiaotong UniversityNanchang 330013China Center for Plastic and Reconstructive Surgery Department of Plastic and Reconstructive SurgeryZhejiang Provincial People’s Hospital(Affiliated People’s HospitalHangzhou Medical College)Hangzhou 310014China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China

Prosthesis implantation and fat transplantation are common breast *** general,prosthesis implantation alone does not achieve a realistic enough appearance,and fat transplantation alone is difficult to achieve in the correct *** date,no reports have focused on methods of combining fat with implanted prostheses for breast *** a newly designed bionic ink(i.e.,polyether F127 diacrylate(F127DA)&poly(ethylene glycol)diacrylate(PEGDA))and projection-based three-dimensional bioprinting(PBP),we report the development of a new method for printing porous *** was used to improve the printing precision of the prosthesis by increasing the gel point of F127DA and reducing the impact of external *** compression modulus of the printed prosthesis was very close to that of prostheses currently used in clinical practice and to that of natural ***,stromal vascular fraction gel(SVF-gel),a human fat extract,was injected into the pores of the synthesized prostheses to prepare a prosthesis mixed with adipose *** were implanted subcutaneously in nude mice to observe their biological *** 14 and 28 days of observation,the prosthesis showed good biocompatibility,and adipose tissues grew well in and around the *** result shows that a porous prosthesis containing pre-placed adipose tissues is a promising breast reconstruction material.

关键词： Projection-based 3D bioprinting(PBP) F127DA Breast reconstruction Fat transplantation

Tilting stability analysis and experiment of the 3-DOF lifting platform for hilly orchards

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International Journal of Agricultural and Biological Engineering 2018年第6期11卷 73-80页

作者： Zhenhua Duan Wei Qiu Weimin Ding yande liu Yuping Ouyang Liang Huang College of Engineering Nanjing Agricultural UniversityNanjing 210031China Co-Innovation Center of the Intelligent Management and Equipment for Orchard on the Hilly Land in South China Nanchang330013China

An orchard-lifting platform is a type of mechanical equipment to assist growers in fruit picking,fruit tree pruning,flower thinning,and other *** its operational processes,the tilting stability directly affects the operational safety and adaptability under complex terrain conditions,while critical tilting angle is an important criterion to evaluate the tilting *** on the structure and the operating characteristics of the three degree of freedom(3-DOF)lifting platform for hilly orchards,the tilting stability was analyzed in different parked states,and the theoretical expressions of critical tilting angle were obtained;in the theoretical expressions,the influencing factors on tilting stability were determined as the parked positionβ1,the manned worktable rotary positionβ2,the lifting height h,and the load *** on the multi-body dynamics principle,the tilting stability simulation was carried *** relative error of tilting angles was approximately 4.6%between simulation and tilting verification experiment,which indicated that the results of tilting stability simulation were ***,the multi-body dynamics simulation was used for further clarifying the influencing factors on tilting stability.A virtual orthogonal test was designed,and the results showed that critical tilting angle ranged from 20°to 44°when the factors were at different values,which indicated that the 3-DOF lifting platform for hilly orchards had a high tilting stability performance and could adapt to the operating conditions of hills with slope angles from 5°to 20°.The results of the range analysis and ANOVA showed that the influence intensity of factors on tilting stability wasβ1>h>m>β2;at the same time,β1,h,and m exerted significant effect on tilting *** tilting stability first decreased and then either increased or decreased with the increasing lifting height;it gradually decreased with the increasing *** also showed that the position of the manned

关键词： orchard-lifting platform hills areas tiling stability influencing factors analysis and experiment

Design and test of a novel crawler-type multi-channel air-assisted orchard sprayer

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International Journal of Agricultural and Biological Engineering 2020年第6期13卷 60-67页

作者： Wei Qiu Xiaolong Li Chongchong Li Weimin Ding Xiaolan Lv yande liu College of Engineering Nanjing Agricultural UniversityNanjing 210031China Jiangsu Academy of Agricultural Sciences Nanjing 210000China Co-Innovation Center of the Intelligent Management and Equipment for Orchard on the Hilly Land in South China Nanchang 330013China

In order to solve the problem of poor traveling stability and excessive pesticide application during plant protection operations in hilly orchards,a novel crawler-type multi-channel air-assisted sprayer that is particularly appropriate for hilly orchards was designed in this *** anti-rolling requirements and the orchard environment in hilly areas,this study selected limits for uphill and downhill rolling angles as well as the transverse rolling angle as the evaluation indexes for determining both the layout and parameter settings of the *** to freely submerged jets and the requirements in plant protection operation,a multi-channel air-assisted system was *** test results showed that the anti-rolling performance and the designed air-assisted system were *** 2 m from the longitudinal center plane of the sprayer,the airflow exhibited wavy distribution patterns under different parameter combinations since the four streams of the airflow were not thoroughly intersected and *** 3 m from the longitudinal center plane of the sprayer,the jet was ejected at great velocity but underwent rapid attenuation;the airflow velocity in most areas barely satisfied the requirements for plant protection *** addition,different air outlet layout schemes led to significant differences in the spatial distribution of the airflow *** with a traditional air-assisted sprayer,using the developed multi-channel air-assisted sprayer enhanced the droplet coverage uniformity by 19.4%,and the mean droplet deposition in the front,middle,and rear of the canopy was enhanced by 32.9%,50.3%,and 78.1%,respectively,while reducing ground deposition and air drift by 26.8%.

关键词： fan dual-flow-channel plant protection air-assisted test