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| 1 | Development and challenges of planning and scheduling for petroleum and petrochemical production显示文摘Production planning and scheduling are becoming the core of production management,which support the decision of a petrochemical company.The optimization of production planning and scheduling is attempted by every refinery because it gains additional profit and stabilizes the daily production.The optimization problem considered in industry and academic research is of different levels of realism and complexity,thus increasing the gap.Operation research with mathematical programming is a conventional approach used to address the planning and scheduling problem.Additionally,modeling the processes,objectives,and constraints and developing the optimization algorithms are significant for industry and research.This paper introduces the perspective of production planning and scheduling from the development viewpoint. | Fupei LI Minglei YANG Wenli DU Xin DAI | 2020 | Frontiers of Engineering Management2020，7，3： | 3 |
| 2 | Fast Image Segmentation Algorithm Based on Salient Features Model and Spatial-frequency Domain Adaptive Kernel显示文摘A fast image segmentation algorithm based on salient features model and spatial-frequency domain adaptive kernel is proposed to solve the accurate discriminate objects problem of online visual detection in such scenes of variable sample morphological characteristics,low contrast and complex background texture.Firstly,by analyzing the spectral component distribution and spatial contour feature of the image,a salient feature model is established in spatial-frequency domain.Then,the salient object detection method based on Gaussian band-pass filter and the design criterion of adaptive convolution kernel are proposed to extract the salient contour feature of the target in spatial and frequency domain.Finally,the selection and growth rules of seed points are improved by integrating the gray level and contour features of the target,and the target is segmented by seeded region growing.Experiments have been performed on Berkeley Segmentation Data Set,as well as sample images of online detection,to verify the effectiveness of the algorithm.The experimental results show that the Jaccard Similarity Coefficient of the segmentation is more than 90%,which indicates that the proposed algorithm can availably extract the target feature information,suppress the background texture and resist noise interference.Besides,the Hausdorff Distance of the segmentation is less than 10,which infers that the proposed algorithm obtains a high evaluation on the target contour preservation.The experimental results also show that the proposed algorithm significantly improves the operation efficiency while obtaining comparable segmentation performance over other algorithms. | WU Fupei LIANG Jiaye LI Shengping | 2022 | Instrumentation2022，9，2： | 3 |
| 3 | Syntheses and crystal structures of rare earth (Nd, Gd) 1-D chain com-plexes with N-p-tolylsulfonyl-β-alanine显示文摘Two rare earth complexes of Ts-β-AlaH with the formula of [Ln2(H2O)4(Ts-β-AlaH)6]n·4nH2O (where Ln = Nd(1), Gd(2); Ts-β-AlaH = N-p-tolylsulfonyl-β-Alanine) have been synthesized and characterized by elemental analysis, IR, and X-ray diffraction. The results show that the two complexes are isostructural. They crystallize in a monoclinic system with P21/n space group. Crystal data for 1: a = 0.95149(19) nm, b = 1.9012(4) nm, c = 2.2863(5) nm, β = 100.37(3)°, Z = 4, Dc = 1.509 mg/cm3, F(000) = 1880, R1 = 0.0560, wR2 = 0.1564 [I > 2σ (I)]; for 2: a = 0.9495(2) nm, b = 1.9037(4) nm, c = 2.2987(5) nm, β = 99.87(3)°, Z = 4, Dc= 1.541 mg/cm3, F(000) = 1916, R1 = 0.0515, wR2 = 0.1566 [I>2σ (I)]. The two complexes are one-dimensional chains and the coordination number of the Nd3+ or Gd 3+ ion is nine. | MA Lufang LI Xiaodong WANG Liya LIANG Fupei ZHANG Manbo YU Kaibei | 2005 | Rare Metals2005，24，4： | 1 |
| 4 | Internal Defects Detection Method of the Railway Track Based on Generalization Features Cluster Under Ultrasonic Images显示文摘There may be several internal defects in railway track work that have different shapes and distribution rules,and these defects affect the safety of high-speed trains.Establishing reliable detection models and methods for these internal defects remains a challenging task.To address this challenge,in this study,an intelligent detection method based on a generalization feature cluster is proposed for internal defects of railway tracks.First,the defects are classified and counted according to their shape and location features.Then,generalized features of the internal defects are extracted and formulated based on the maximum difference between different types of defects and the maximum tolerance among same defects’types.Finally,the extracted generalized features are expressed by function constraints,and formulated as generalization feature clusters to classify and identify internal defects in the railway track.Furthermore,to improve the detection reliability and speed,a reduced-dimension method of the generalization feature clusters is presented in this paper.Based on this reduced-dimension feature and strongly constrained generalized features,the K-means clustering algorithm is developed for defect clustering,and good clustering results are achieved.Regarding the defects in the rail head region,the clustering accuracy is over 95%,and the Davies-Bouldin index(DBI)index is negligible,which indicates the validation of the proposed generalization features with strong constraints.Experimental results prove that the accuracy of the proposed method based on generalization feature clusters is up to 97.55%,and the average detection time is 0.12 s/frame,which indicates that it performs well in adaptability,high accuracy,and detection speed under complex working environments.The proposed algorithm can effectively detect internal defects in railway tracks using an established generalization feature cluster model. | Fupei Wu Xiaoyang Xie Jiahua Guo Qinghua Li | 2022 | Chinese Journal of Mechanical Engineering2022，35，5： | 0 |
| 5 | In situ synthesized homochiral dysprosium-oxo clusters with threonine Schiff bases显示文摘Chiral high-nuclearity lanthanide(4f)clusters have shown fantastic properties in various fields.However,their synthesis is still of great challenge.Herein,we report two pairs of enantiomers of highnuclearity Dy-oxo clusters synthesized through in situ strategy.They are[Dy18(^(R/S)Hftp)4(^(R/S)H_(2)btp)4(μ2-OH)_(8)(μ3-OH)20(μ6-O)(NO_(3))_(4)(μ-H_(2)O)_(8)]·[solvents](1R and 1S)and[Dy9(^(R/S)Hftp)2(^(R/S)H_(2)btp)_(2)(OAc)_(6)(μ3-OH)_(10)(H_(2)O)_(6)](OAc)·[solvents](2R and 2S),where^(R/S)Hftp2−and^(R/S)H_(2)btp^(3−)represent in situ formed 2-formyl-6-[N-(threonine)iminomethyl]-4-methylphenol and 2,6-bis[N-(threonine)iminomethyl]-4-methylphenol anions,respectively.These in situ formed clusters were endowed with not only homochirality via introducing^(R/S)Hftp2−and^(R/S)H_(2)btp^(3−)ligands,but also rich oxo-bridges by controlling the hydrolysis of Dy^(III)ions.Different anions from DyIII salts further induced structural variation between two sets of clusters.1R and 1S feature an unprecedent four-blade propeller shaped{Dy18}core,whose centered octahedral{Dy6}unit are surrounded by four triangular{Dy3}units.Strikingly,they represent the second largest chiral 4f cluster species so far.2R and 2S display a sandglass-like{Dy9}skeleton that consist of two square pyramid{Dy5}units sharing a Dy^(III)vertex.Magnetic investigation revealed possible antiferromagnetic interactions between the Dy^(III)centers in these clusters. | Song Peng Xiaoming Ouyang Yihan Wang Qinghu Teng Yan Li Xiuqing Zhang Zhaobo Hu Kai Wang Fupei Liang | 2023 | Chinese Chemical Letters2023，34，8： | 0 |
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