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An Automatic Classification Pipeline for the Complex Synaptic Structure Based on Deep Learning

Journal of Systems Science & Complexity 2022年第4期35卷 1398-1414页

作者： SHEN Lijun MA Chao LUO jie HONG Bei Faculty of Information Technology Macao University of Science and TechnologyMacaoTaipai999078China Faculty of Mathematics and Statistics Hubei UniversityWuhan430062China

As a hallmark of brain complexity,synapses in the nervous system have always received extensive *** diversity of the synaptic structure reflects various functions and mechanisms,some research indicates that,as one of the complex synaptic structures,multiple synapses can strengthen the synaptic connection,what’s more,it is closely associated with the procedure of memory and *** by the fast advancement of electron microscopy(EM)technology,it is possible to detect the composition of multiple synapse with high *** this basis,there have been various meaningful studies concerning the relationship between the multiple synapse and cognitive *** the extensive studies have been made by different researchers on multiple synapse,no attention has been paid to the classification accuracy of the type of multiple *** current research puts forward an effective method for the automatic classification of multiple synapse,which should be performed in three steps,namely the segmentation of synaptic clefts,the segmentation of vesicle bands,as well as the segmentation of multiple *** to experimental results based on four data sets,the mean classification rate of the method is approximately 97%.In addition,the experimental result on the public dataset shows that the accuracy can reach 96.5%.The classification results provide a basis for quantitative statistics of follow-up ***,this automatic classification method can reduce the time in artificial statistics,and thus researchers can focus more attention on the analysis of statistical results.

关键词： Classification deep learning electron microscopy multiple synapses synaptic cleft vesicle band

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Local multi-model integrated soft sensor based on just-in-time learning for mechanical properties of hot strip mill process

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Journal of Iron and Steel Research International 2021年第7期28卷 830-841页

作者： jie Dong Ying-ze Tian Kai-xiang Peng Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijing 100083China National Engineering Research Center for Advanced Rolling Technology University of Science and Technology BeijingBeijing 100083China

The mechanical properties of hot rolled strip are the key index of product quality,and the soft sensing of them is an important decision basis for the control and optimization of hot rolling *** solve the problem that it is difficult to measure the mechanical properties of hot rolled strip in time and accurately,a soft sensor based on ensemble local modeling was ***,outliers of process data are removed by local outlier *** standardization and transformation,normal data that can be used in the model are ***,in order to avoid redundant variables participating in modeling and reducing performance of models,feature selection was applied combing the mechanism of hot rolling process and mutual information among ***,features of samples were extracted by supervised local preserving projection,and a prediction model was constructed by Gaussian process regression based on just-in-time learning(JITL).Other JITL-based models,such as support vector regression and gradient boosting regression tree models,keep all variables and make up for the lost information during dimension ***,the soft sensor was developed by integrating individual models through stacking *** and reliability of proposed soft sensors were verified by actual process data from a real hot rolling process.

关键词： Soft sensor Just-in-time learning Multi-model Hot rolling

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Multi-scale joint feature network for micro-expression recognition

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Computational Visual Media 2021年第3期7卷 407-417页

作者： Xinyu Li Guangshun Wei jie Wang Yuanfeng Zhou School of Software Shandong UniversityJinan 250101China

Micro-expression recognition is a substantive cross-study of psychology and computer science,and it has a wide range of applications(e.g.,psychological and clinical diagnosis,emotional analysis,criminal investigation,etc.).However,the subtle and diverse changes in facial muscles make it difficult for existing methods to extract effective features,which limits the improvement of micro-expression recognition ***,we propose a multi-scale joint feature network based on optical flow images for micro-expression ***,we generate an optical flow image that reflects subtle facial motion *** optical flow image is then fed into the multi-scale joint network for feature extraction and *** proposed joint feature module(JFM)integrates features from different layers,which is beneficial for the capture of micro-expression features with different *** improve the recognition ability of the model,we also adopt a strategy for fusing the feature prediction results of the three JFMs with the backbone *** experimental results show that our method is superior to state-of-the-art methods on three benchmark datasets(SMIC,CASME II,and SAMM)and a combined dataset(3 DB).

关键词： micro-expression recognition multi-scale feature optical flow deep learning

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Relationship Between Microstructures and Microhardness in High-Speed Friction Stir Welding of AA6005A-T6 Aluminum Hollow Extrusions

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Acta Metallurgica Sinica(English Letters) 2020年第1期33卷 115-126页

作者： Xiang-Qian Liu Hui-jie Liu Yan Yu Luoyang Ship Material Research Institute Luoyang 471023China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China

AA6005 A-T6 aluminum hollow extrusions were friction stir welded at a fixed high welding speed of 2000 mm/min and various rotation *** results showed that the heat-aff ected zone(HAZ)retained the similar grain structure as the base material except some grain coarsening,and the density of dislocations andβ′precipitates were almost unchanged,indicating that the high welding speed inhibited the coarsening and dissolution ofβ″precipitates via fast cooling *** thermo-mechanically aff ected zone(TMAZ)was characterized by elongated and rotated grains,in which a low density ofβ′precipitates and the highest density of dislocations were *** highest heat input and severest plastic deformation occurring in the nugget zone(NZ)resulted in the occurrence of dynamic recrystallization and a high density of ***,all theβ″precipitates and most of theβ′precipitates dissolved into the matrix,and a fewβ′precipitates were transformed intoβ*** microhardness was controlled by the precipitation and solution strengthening in the HAZ,by the dislocation and precipitation strengthening in the TMAZ,and by the fine-grain and dislocation strengthening in the *** the increase in rotation speed,the peak and the lowest microhardness value increased monotonously.

关键词： Aluminum hollow extrusions High-speed friction stir welding Grain structure Dislocation and precipitates Microhardness distribution

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Biomimetic directional transport for sustainable liquid usage

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Biosurface and Biotribology 2022年第3期8卷 188-198页

作者： jie Ma Zhichao Dong CAS Key Laboratory of Bio‐inspired Materials and Interfacial Sciences Technical Institute of Physics and Chemistry Chinese Academy of SciencesBeijingChina School of Future Technology University of Chinese Academy of SciencesBeijingChina College of Chemistry and Materials Science Northwest UniversityXianChina

Through hundreds of millions of evolution,animals and plants have possessed their unique structures to adapt to natural *** a familiar process,liquid transportation plays an important part in both production and life,and researchers focus on how to achieve this process in a convenient and efficient way without energy *** by nature,various bioinspired structures are reported and have won multiple *** review starts from basic theory about surface wettability,and then summarises the creatures with special liquid transport functions as well as crucial structures that cause this ***,the recent articles about transporting liquid by bioinspired materials are ***,we proposed a brief conclusion and the prospect of bionic materials in the future.

关键词： bioinspiration bioinspired structures directional transport wettability

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Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review

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Artificial Intelligence in Agriculture 2020年第1期4卷 104-115页

作者： Juzhong Tan jie Xu Department of Food Science Rutgers UniversityNew BrunswickNJ 08901USA Department of Food Science and Technology The Ohio State UniversityColumbusOH 43210USA

Background:An e-nose or an e-tongue is a group of gas sensors or chemical sensors that simulate human nose or human *** e-nose and e-tongue have showngreat promise and utility in improving assessments of food quality characteristics compared with traditional detection *** and approach:This review summarizes the application of e-nose and e-tongue in determining the quality-related properties of *** working principles,applications,and limitations of the sensors employed by electronic noses and electronic tongueswere introduced and *** pattern recognition algorithms,including artificial neural network(ANN),convolutional neural network(CNN),principal component analysis(PCA),partial least square regression(PLS),and support vector machine(SVM),were introduced and compared in this *** findings and conclusions:Overall,e-nose or e-tongue combining pattern recognition algorithms are very powerful analytical tools,which are relatively low-cost,rapid,and accurate.E-nose and e-tongue are also suitable for both in-line and off-line measurements,which are very useful in monitoring food processing and detecting the end product *** user of e-nose and e-tongue need to strictly control sample preparation,sampling,and data processing.

关键词： E-nose E-tongue Food quality assessments

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Improved Particle Filter for Non-Gaussian Forecasting-aided State Estimation

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Journal of Modern Power Systems and Clean Energy 2023年第4期11卷 1075-1085页

作者： Lyuzerui Yuan jie Gu Honglin Wen Zhijian Jin School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Gaussian assumptions of non-Gaussian noises hinder the improvement of state estimation *** this paper,an asymmetric generalized Gaussian distribution(AGGD),as a unified representation of various unimodal distributions,is applied to formulate the non-Gaussian forecasting-aided state estimation *** address the problem,an improved particle filter is proposed,which integrates a near-optimal AGGD proposal function and an AGGD sampling method into the typical particle *** AGGD proposal function can approximate the target distribution of state variables to greatly alleviate particle degeneracy and promote precise estimation,through considering both state transitions and latest *** rapid particle generation from the AGGD proposal function,an efficient inverse cumulative distribution function(CDF)sampling method is employed based on the derived approximation of inverse CDF of *** simulations are carried out on a modified balanced IEEE 123-bus test *** results validate that the proposed method outperforms other popular state estimation methods in terms of accuracy and robustness,whether in Gaussian,non-Gaussian,or abnormal measurement errors.

关键词： State estimation particle filter asymmetric generalized Gaussian distribution non-Gaussian noise

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Computer-Assisted Detection of Colonic Polyps Using Improved Faster R-CNN

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Chinese Journal of Electronics 2019年第4期28卷 718-724页

作者： LI Jiangyun ZHANG jie CHANG Dedan HU Yaojun School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Department of Gastroenterology Fu Xing Hospital Capital Medical University

The deficiencies of existing polyp detection methods remain: i) They primarily depend on the manually extracted features and require considerable amounts of preprocessing. ii) Most traditional methods cannot specify the location of the polyps in colonoscopy images, especially for the polyps with variable size. In order to derive the improvement and lift the accuracy, we propose a novel and scalable detection algorithm based on deep neural networks—an improved Faster Regionbased Convolutional neural networks(Faster R-CNN)—by increasing the fusion of feature maps at different *** can be employed to detect and locate polyps, and even achieve a multi-object task for polyps in the *** experimental consequences demonstrate that the best version among improved algorithms achieves 97.13%accuracy on the CVC-ClinicDB database, overtaking the previous methods.

关键词： Colonic polyps Deep learning Improved Faster R-CNN Object detection

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适应型坐标变换在天然河道平面计算中的应用

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水动力学研究与进展（A辑） 1991年第A12期6卷 100-107页

作者：曾平大连理工大学

天然河道复杂的地形及水力条件常导致流场计算的困难。本文应用适应型坐标变换方法使流场的计算网格能适应性地反映天然河道的地形与水力条件的变化特征,从而大大增加数值计算的适应性与合理性。计算河道流场时在坐标变换系统中引入了... 详细信息

天然河道复杂的地形及水力条件常导致流场计算的困难。本文应用适应型坐标变换方法使流场的计算网格能适应性地反映天然河道的地形与水力条件的变化特征,从而大大增加数值计算的适应性与合理性。计算河道流场时在坐标变换系统中引入了新的速度分量,并采用物理概念上的分型数值格式。最后以辽河某河段的流场与潮位计算作为实例验证了方法的实用性和可行性。

关键词：坐标变换适应性天然河道流场

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Product Rotational Polarization in the Li+HF(v=0,j=0)Reaction and Its Isotopic Variants

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Chinese Physics Letters 2011年第8期28卷 72-75页

作者： CHENG jie YUE Xian-Fang Department of Physics and Information Engineering Jining UniversityJining 273155

Product rotational polarization in the title reactions is investigated by employing the quasi-classical trajectory *** accurate ground 12A'potential energy surface[***.107(1997)10085]and a collision energy of 110 meV are adopted in these *** commonly used rotational alignment parameter A0(2)and the three angular distributions P(θr),P(φr),and P(θr,φr)(θr andφr being the polar angles of the product angular momentum)are computed in the *** to gain insight into the product rotational alignment and *** is found that the product rotational angular momentum prefers not only to align perpendicular to the reagent relative velocity vector k but also orientate along the negative y axis,which is successfully interpreted by an impulsive *** isotope mass effect on the product rotational polarization is also revealed and discussed.

关键词： method rotational angular

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