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Nondestructive determining the soluble solids content of citrus using near infrared transmittance technology combined with the variable selection algorithm

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Artificial Intelligence in agriculture 2020年第1期4卷 48-57页

作者： Xi Tian Jiangbo Li Shilai Yi Guoqiang Jin Xiaoying Qiu Yongjie Li College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Beijing research center of intelligent equipment for agriculture Beijing 100097China Citrus research Institute Southwest UniversityChongqing 400712China Co-innovation center of Citrus Industrial Technology in Linhai Linhai 31700China Station of Popularizing Speciality Technology in Linhai Linhai 31700China

Nondestructive determination the internal quality of thick-skin fruits has always been a *** order to investigate the prediction ability of full transmittance mode on the soluble solid content(SSC)in thick-skin fruits,the full transmittance spectra of citrus were collected using a visible/near infrared(Vis/NIR)portable spectrograph(550–1100 nm).Three obvious absorption peakswere found at 710,810 and 915 nmin the original spectra *** spectral preprocessing methods including Smoothing,multiplicative scatter correction(MSC),standard normal variate(SNV)and first derivativewere employed to improve the quality of the original ***,the effective wavelengths of SSC were selected from the original and pretreated spectra with the algorithms of successive projections algorithm(SPA),competitive adaptive reweighted sampling(CARS)and genetic algorithm(GA).Finally,the prediction models of SSC were established based on the full wavelengths and *** showed that SPA performed the best performance on eliminating the useless information variable and optimizing the number of effective *** optimal predictionmodel was established based on 10 characteristic variables selected from the spectra pretreated by SNV with the algorithmof SPA,with the correlation coefficient,root mean square error,and residual predictive deviation for prediction set being 0.9165,0.5684°Brix and 2.5120,***,the full transmittance mode was feasible to predict the internal quality of thick-skin fruits,like ***,the combination of spectral preprocessing with a variable selection algorithmwas effective for developing the reliable *** conclusions of this study also provide an alternative method for fast and real-time detection of the internal quality of thick-skin fruits using Vis/NIR spectroscopy.

关键词： Full transmittance spectrum Spectral preprocessing Thick-skin fruits Soluble solids content Variable selection algorithm

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intelligent representation method of image flatness for cold rolled strip

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Journal of Iron and Steel research International 2024年第5期31卷 1177-1195页

作者： Yang-huan Xu Dong-cheng Wang Hong-min Liu Bo-wei Duan national Engineering research center for equipment and Technology of Cold Strip Rolling Yanshan UniversityQinhuangdao066004HebeiChina national Key Laboratory of Metal Forming Technology and Heavy equipment China National Heavy Machinery Research Institute Co.Ltd.Xi’an710018ShaanxiChina State Key Laboratory of Metastable Materials Science and Technology Yanshan UniversityQinhuangdao066004HebeiChina

Real flatness images are the bases for flatness detection based on machine vision of cold rolled *** characteristics of a real flatness image are analyzed,and a lightweight strip location detection(SLD)model with deep semantic segmentation networks is *** interference areas in the real flatness image can be eliminated by the SLD model,and valid information can be *** this basis,the concept of image flatness is proposed for the first *** image flatness representation(IFAR)model is established on the basis of an autoencoder with a new *** optimal structure of the bottleneck layer is 16×16×4,and the IFAR model exhibits a good representation ***,interpretability analysis of the representation factors is carried out,and the difference and physical meaning of the representation factors for image flatness with different categories are *** flatness with new defect morphologies(bilateral quarter waves and large middle waves)that are not present in the original dataset are generated by modifying the representation factors of the no wave ***,the SLD and IFAR models are used to detect and represent all the real flatness images on the test *** average processing time for a single image is 11.42 ms,which is suitable for industrial *** research results provide effective methods and ideas for intelligent flatness detection technology based on machine vision.

关键词： Cold rolled strip Image flatness Location detection Representation learning Bottleneck layer

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BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment

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Plant Phenomics 2022年第1期4卷 75-93页

作者： Meili Sun Liancheng Xu Xiude Chen Ze Ji Yuanjie Zheng Weikuan Jia School of Information Science and Engineering Shandong Normal UniversityJinanChina Key Laboratory of Facility agriculture Measurement and Control Technology and equipment of Machinery Industry Zhenjiang 212013China national Engineering research center for Apple Shandong Agriculture UniversityTaian 271018China School of Engineering Cardiff UniversityCardiff CF243AAUK

Despite of significant achievements made in the detection of target fruits,small fruit detection remains a great challenge,especially for immature small green fruits with a few *** closeness of color between the fruit skin and the background greatly increases the difficulty of locating small target fruits in the natural orchard *** this paper,we propose a balanced feature pyramid network(BFP Net)for small apple detection.

关键词： Net pyramid locating

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Data-driven flatness intelligent representation method of cold rolled strip

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Journal of Iron and Steel research International 2023年第5期30卷 994-1012页

作者： Yang-huan Xu Dong-cheng Wang Bo-wei Duan Hong-min Liu national Engineering research center for equipment and Technology of Cold Rolling Strip Yanshan UniversityQinhuangdao 066004HebeiChina national Key Laboratory of Metal Forming Technology and Heavy equipment China National Heavy Machinery Research Institute Co.Ltd.Xi’an 710032ShaanxiChina State Key Laboratory of Metastable Materials Science and Technology Yanshan UniversityQinhuangdao 066004HebeiChina

A high-accuracy flatness prediction model is the basis for realizing flatness *** flatness is typically reflected as the strain distribution,which is a ***,it is difficult to obtain ideal results if the real flatness is directly used as the output value of the flatness intelligent prediction ***,it is necessary to seek an abstract representation method of real *** this reason,two new intelligent flatness representation models were proposed based on the autoencoder of unsupervised learning theory:the flatness autoencoder representation(FAR)model and the flatness stacked sparse autoencoder representation(FSSAR)*** with the traditional Legendre fourth-order polynomial representation model,the representation accuracies of the FAR and FSSAR models are significantly improved,better representing the flatness defects,like the double tight *** optimal number of bottleneck layer neurons in the FAR and FSSAR models is 5,which means that five basic patterns can accurately represent real *** with the FAR model,the FSSAR model has higher representation accuracy,although the flatness basic pattern is more abstract,and the physical meaning is not clear ***,the accuracy of the FAR model is slightly lower than that of the FSSAR ***,it can automatically learn the flatness basic pattern with a very clear physical meaning for both the theoretical and real flatness,which is an optimal intelligent representation method for flatness.

关键词： Cold rolling flatness Data-driven model Unsupervised learning Representation learning Autoencoder Bottleneck layer

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Real-time energy management strategy based on predictive cruise control for hybrid electric vehicles

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Control Theory and Technology 2022年第2期20卷 161-172页

作者： Xiongxiong You Xiaohong Jiao Zeyi Wei Yahui Zhang Engineering research center of the Ministry of Education for intelligent Control System and intelligent equipment Yanshan UniversityQinhuangdao 066000HebeiChina School of Electrical Engineering Yanshan UniversityQinhuangdao 066000HebeiChina School of Mechanical Engineering Yanshan UniversityQinhuangdao 066000HebeiChina

With the help of traffic information of the connected environment,an energy management strategy(EMS)is proposed based on preceding vehicle speed prediction,host vehicle speed planning,and dynamic programming(DP)with PI correction to improve the fuel economy of connected hybrid electric vehicles(HEVs).A conditional linear Gaussian(CLG)model for estimating the future speed of the preceding vehicle is established and trained by utilizing historical *** on the predicted information of the preceding vehicle and traffic light status,the speed curve of the host vehicle can ensure that the vehicle follows safety and complies with traffic rules simultaneously as *** real-time power allocation is composed of offline optimization results of DP and the real-time PI correction items according to the actual operation of the *** effectiveness of the control strategy is verified by the simulation system of HEVs in the interconnected environment established by E-COSM 2021 on the MATLAB/Simulink and CarMaker platforms.

关键词： Connected HEVs EMS Gaussian model prediction Speed planning DP

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Spray drift characteristics of pulse-width modulation sprays in wind tunnel

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International Journal of Agricultural and Biological Engineering 2022年第4期15卷 7-15页

作者： Longlong Li Liping Chen Ruirui Zhang Qing Tang Tongchuan Yi Boqin Liu Wei Deng research center of intelligent equipment Beijing Academy of Agricultural and Forestry SciencesBeijing 100097China Qingyuan Smart agriculture and Rural research Institute Qingyuan 511500GuangdongChina national research center of intelligent equipment for agriculture Beijing Academy of Agricultural and Forestry SciencesBeijing 100097China national center for International research on Agricultural Aerial Application Technology Beijing Academy of Agricultural and Forestry SciencesBeijing 100097China Beijing Key Laboratory of intelligent equipment Technology for agriculture Beijing Academy of Agricultural and Forestry SciencesBeijing 100097China College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100ShaanxiChina

Pulse-width modulation(PWM)sprays can improve flow accuracy by adjusting duty cycle and frequency signal which accurately controls the relative proportion of opening time of solenoid *** objective of this research was to determine the impacts of PWM duty cycle and frequency on spray drift *** tests were conducted in a wind tunnel with a PWM variable-rate spraying *** airborne drift and sediment drift were determined with tracer method,and the drift potential reduction(DPR)compared with reference condition of 100%duty cycle at vertical profile and horizontal planes were calculated,*** results show that,at a given frequency,droplet size decreases with the increase of duty cycle,the main reason is that the liquid does not reach full pattern development at lower duty *** cycle has a greater impact than the frequency on spray drift,the influence weights of duty cycle on airborne drift and sediment drift were 88.32%and 77.89%,*** a lower PWM frequency,in addition to the droplet size,the spray drift may be affected by the pulsed spray *** the perspective of reducing spray drift,it is recommended that the PWM duty cycle should be set in the range of 20%-70%to reduce the potential drift in PWM *** research provides a pesticide drift reduction scheme for variable spraying technology,which can serve as a theoretical basis for PWM parameter selection.

关键词： nozzle spray drift pulse-width modulation drift potential reduction droplets spectral

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Development of Digital Stereotaxic Instrument for Pigeons(Columba Livia)

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Journal of Bionic Engineering 2022年第4期19卷 1003-1013页

作者： Xinyu Liu Yanna Ping Dongyun Wang Hang Xie Li Shi School of intelligent Manufacturing Huanghuai UniversityZhumadian 463000China Henan Engineering Reseacrh center of intelligent Human-Machine Interaction equipment Huanghuai UniversityZhumadian 463000China Department of Automation Tsinghua UniversityBeijing 100084China

Stereotaxic instrument is an indispensable tool for numerous types of neuroscience studies and is routinely performed in neuroscience laboratories as part of a variety of experimental *** to the development of robotics and automation,the stereotaxic instrument for rodents has made great progress,while it is relatively backward and scarce for birds.A digital stereotaxic instrument for pigeons(Columba livia),a classic animal model for learning,memory and cognition,was developed in this *** performance was verified from three aspects including stereotaxic accuracy,stereotaxic stability and stereotaxic *** developed stereotaxic instrument has the following characteristics:(1)a digital positioning system was used,which is characterized by high stereotaxic accuracy;(2)a novel head-fixation system was developed to increase the adaptability of head-fixation;(3)a four-point fixation method was suggested,improving the stability of head-fixation;(4)the stereotaxic instrument has strong versatility,which can be suitable for a wide variety of ***,the proposed stereotaxic instrument has better positioning accuracy and stability,which will promote the study of neural mechanisms for pigeons.

关键词： Pigeons Stereotaxic instrument Digital positioning system Head fixation system Reproducibility

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Qualitative and quantitative analysis ofβ-sitosterol marker in virgin camellia oil and virgin olive oil

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Food Quality and Safety 2023年第4期7卷 579-587页

作者：李阳吴旻谕翟量张辉沈立荣 national Engineering Laboratory of intelligent Food Technology and equipment Key Laboratory for Agro-Products Postharvest Handling of Ministry of AgricultureKey Laboratory for Agro-Products Nutritional Evaluation of Ministry of AgricultureZhejiang Key Laboratory for Agro-Food ProcessingFuli Institute of Food ScienceCollege of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhouChina Innovation center of Yangtze River Delta Zhejiang UniversityJiaxingChina

Camellia oil and olive oil with superior economic value are easily adulterated with other,cheaper *** is difficult to identify both oils by traditional methods because of their similar fatty acid *** the present study,a novel method for qualitative and quantitative analysis ofβ-sitosterol using GC/MS and GC/FID was developed to identify camellia oil and olive *** method validation ofβ-sitosterol analysis showed good linearity and satisfactory values for recovery,accuracy,precision,and *** linear regression coefficient(R^(2))of the calibration curve was *** acceptable limit of detection(0.36 mg/100 g)and limit of quantification(1.20 mg/100 g)were *** spiked recoveries were 95.0%to 100.3%.The relative standard deviation(RSD)of within-day precision was less than 3.26%,and the RSD of retention times and peak areas for repeatability were within 0.03%and 1.08%,*** contents ofβ-sitosterol in virgin camellia oil and virgin olive oil were in the range of 14.1–30.2 mg/100 g and 94.3–173.2 mg/100 g,respectively,indicating that theβ-sitosterol content in the former is seven times that in the latter,andβ-sitosterol could be a potential marker for the authentication and adulteration detection of both oils.

关键词： β-Sitosterol virgin camellia oil(VCO) virgin olive oil(VOO) qualitative analysis quantitative analysis

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Effect of void size and Mg contents on plastic deformation behaviors of Al-Mg alloy with pre-existing void:Molecular dynamics study

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Chinese Physics B 2022年第6期31卷 580-588页

作者： Ning Wei Ai-Qiang Shi Zhi-Hui Li Bing-Xian Ou Si-Han Zhao Jun-Hua Zhao Jiangsu Key Laboratory of Advanced Food Manufacturing equipment and Technology Jiangnan UniversityWuxi 214122China China Aerodynamics research and Development center Mianyang 621000China national Laboratory for Computational Fluid Dynamics Beijing 100191China national Graphene Products Quality Supervision and Inspection center Special Equipment Safety Supervision Inspection Institute of Jiangsu ProvinceWuxi 214174China

The plastic deformation properties of cylindrical pre-void aluminum-magnesium(Al-Mg)alloy under uniaxial tension are explored using molecular dynamics simulations with embedded atom method(EAM)*** factors of Mg content,void size,and temperature are *** results show that the void fraction decreases with increasing Mg in the plastic deformation,and it is almost independent of Mg content when Mg is beyond 5%.Both Mg contents and stacking faults around the void affect the void *** phenomena are explained by the dislocation density of the sample and stacking faults distribution around the *** variation trends of yield stress caused by void size are in good agreement with the Lubarda ***,temperature effects are explored,the yield stress and Young’s modulus obviously decrease with *** results may enrich and facilitate the understanding of the plastic mechanism of Al-Mg with defects or other alloys.

关键词： Al-Mg alloys molecular dynamics nanovoid plastic deformation

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The configuration of Au^(δ+)-ZrO_(2)^(δ−)species induced activation enhances electrocatalytic CO_(2)to formate conversion

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Nano research 2024年第7期17卷 6006-6015页

作者： Yongjian Jia Yadi Zhang Mengque Lin Yangyang Cheng Yanjie Xu national Engineering research center for Technology and equipment of Environmental Deposition Lanzhou Jiaotong UniversityLanzhou 730070China Key Lab of Opt-Electronic Technology and intelligent Control of Ministry of Education Lanzhou Jiaotong UniversityLanzhou 730070China School of Environmental Engineering and Chemistry Luoyang Institute of Science and TechnologyLuoyang 471023China

Electrochemical CO_(2)conversion into value-added chemicals is a promising technology to solve the greenhouse effect and recycle chemical ***,the electrochemical CO_(2)reduction reaction(e-CO_(2)RR)is seriously compromised by weak CO_(2)adsorption and a rough CO_(2)activation process based on the chemical inertness of the CO_(2)molecule and the formed fragile metal–C/O *** this paper,we designed and fabricated Au particles embedded in ZrO_(2).The configuration of Au particles being of positive charge and ZrO_(2)with negative charge is induced and generated by metal–support interactions(MSIs).As a result,Au/ZrO_(2)@C presents a big difference in the CO_(2)conversion compared with the known work,affording a formate yield of 112.5μmol·cm^(−2)·h^(−1)at−1.1 V *** hydrogen electrode(RHE),and a max formate Faradaic efficiency of up to 94.1%at−0.9 V *** superior performance was attributed to the activated Au–ZrO_(2)interface to form the Au^(δ+)*** insitu Fourier transform infrared(FTIR)spectroscopy and theoretical calculations show that the MSIs configuration can be inclined to the*OCO intermediate generation on Au^(δ+)species activating CO_(2)molecules and then accelerate the formation of the*OCHO intermediate in e-CO_(2)RR,thereby favoring the CO_(2)conversion to formate.

关键词： electrochemical CO_(2)reduction reaction(e-CO_(2)RR) Au_(δ+)species formic acid *OCHO intermediate metal-support interactions

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