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Computational Analysis of Synthetic Planning:Past and Future

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Chinese Journal of Chemistry 2021年第11期39卷 3127-3143页

作者： zhuang wang Wenhan Zhang Bo Liu Key Laboratory of Green Chemistry&Technology of Ministry of Education College of ChemistrySichuan University29 Wangjiang Rd.ChengduSichuan 610064(China) Center for Molecular Discovery Department of ChemistryBoston University590 Commonwealth Ave.BostonMassachusetts 02215United States One Amgen Center Dr.Amgen Inc. Thousand OaksCalifornia 91320United States

Computer-aided synthesis planning(CASP)integrates intuition of chemists and reliability of *** an in-between of unique creativities of human beings and unparalleled calculational capability of computers,CASP has become an important tool used in academic and industrial *** explosion of novel chemical reactions,increasing of computer performance,and revolution of algorithms,CASP will play more significant roles in the synthetic chemistry field,inspiring novel and highly efficient syntheses of natural products and drug *** this article,we review the progress in computational analysis of synthetic planning from rule-based programs(e.g.,LHASA and SECS)in the early stage to machine learning(e.g.,neural networks and seq2seq methods)in more recent years.

关键词： Retrosynthetic analysis Computer Synthesis planning Total synthesis Machine learning

Staring-imaging satellite pointing estimation based on sequential ISAR images

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Chinese Journal of Aeronautics 2024年第8期37卷 261-276页

作者： Canyu wang Libing JIANG Weijun ZHONG Xiaoyuan REN zhuang wang National Key Laboratory of Automatic Target Recognition National University of Defense TechnologyChangsha 410073China Xi’an Satellite Control Center Xi’an 710600China

Pointing estimation for spacecraft using Inverse Synthetic Aperture Radar(ISAR)images plays a significant role in space situational awareness and ***,feature extraction and cross-range scaling of ISAR images create bottlenecks that limit performances of current estimation ***,the emergence of staring imaging satellites,characterized by complex kinematic behaviors,presents a novel challenge to this *** address these issues,this article proposes a pointing estimation method based on Convolutional Neural Networks(CNNs)and a numerical optimization algorithm.A satellite’s main axis,which is extracted from ISAR images by a proposed Semantic Axis Region Regression Net(SARRN),is chosen for investigation in this article due to its unique ***,considering the kinematic characteristic of the staring satellite,an ISAR imaging model is established to bridge the target pointing and the extracted *** on the imaging model,pointing estimation and cross-range scaling can be described as a maximum likelihood estimation problem,and an iterative optimization algorithm modified by using the strategy of random sampling-consistency check and weighted least squares is proposed to solve this ***,the pointing of targets and the cross-range scaling factors of ISAR images are *** experiments based on actual satellite orbital parameters verify the effectiveness of the proposed *** work can improve the performance of satellite reconnaissance warning,while accurate cross-range scaling can provide a basis for subsequent data processes such as 3D reconstruction and attitude estimation.

关键词： Staring-imaging Agile satellite Inverse Synthetic Aperture Radar(ISAR) Pointing estimation Cross-range scaling

Traces of weighted function spaces: Dyadic norms and Whitney extensions

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Science China Mathematics 2017年第11期60卷 1981-2010页

作者： KOSKELA Pekka SOTO Tomas wang zhuang Department of Mathematics and Statistics University of Jyvskyl

The trace spaces of Sobolev spaces and related fractional smoothness spaces have been an active area of research since the work of Nikolskii, Aronszajn, Slobodetskii, Babich and Gagliardo among others in the 1950's. In this paper, we review the literature concerning such results for a variety of weighted smoothness spaces. For this purpose, we present a characterization of the trace spaces(of fractional order of smoothness),based on integral averages on dyadic cubes, which is well-adapted to extending functions using the Whitney extension operator.

关键词： trace theorems weighted Sobolev spaces Besov spaces Triebel-Lizorkin spaces

Single Image Desnow Based on Vision Transformer and Conditional Generative Adversarial Network for Internet of Vehicles

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Computer Modeling in Engineering & Sciences 2023年第11期137卷 1975-1988页

作者： Bingcai Wei Di wang zhuang wang Liye Zhang College of Computer Science and Technology Shandong University of TechnologyZibo255049China

With the increasing popularity of artificial intelligence applications,machine learning is also playing an increasingly important role in the Internet of Things(IoT)and the Internet of Vehicles(IoV).As an essential part of the IoV,smart transportation relies heavily on information obtained from ***,inclement weather,such as snowy weather,negatively impacts the process and can hinder the regular operation of imaging equipment and the acquisition of conventional image *** only that,but the snow also makes intelligent transportation systems make the wrong judgment of road conditions and the entire system of the Internet of Vehicles *** paper describes the single image snowremoval task and the use of a vision transformer to generate adversarial *** residual structure is used in the algorithm,and the Transformer structure is used in the network structure of the generator in the generative adversarial networks,which improves the accuracy of the snow removal ***,the vision transformer has good scalability and versatility for larger models and has a more vital fitting ability than the previously popular convolutional neural *** Snow100K dataset is used for training,testing and comparison,and the peak signal-to-noise ratio and structural similarity are used as evaluation *** experimental results show that the improved snow removal algorithm performs well and can obtain high-quality snow removal images.

关键词： Artificial intelligence Internet of Things vision transformer deep learning image desnow

Early methylprednisolone impact treatment for sensory and motor function recovery in patients with acute spinal cord injury A self-control study

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Neural Regeneration Research 2008年第5期3卷 577-580页

作者： Chao zhuang Liming wang Yan Xu Department of Orthopaedics Nanjing First Hospital Affiliated to Nanjing Medical University Nanjing 210006 Jiangsu Province China

BACKGROUND： For the treatment of spinal cord injury, any pathological changes of the injured tissue should be primarily corrected or reversed. Any remaining fibrous function and neurons with intact structure should be retained, and the toxic substances caused by ischemia-hypoxia following spinal cord injury, should be eliminated to create a favorable environment that would promote neural functional recovery. OBJECTIVE： This study was designed to investigate the effects of the impact of early methylprednisolone-treatment on the sensory and motor function recovery in patients with acute spinal cord injury. DESIGN： A self-control observation. SETTING： Department of Spine Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China. PARTICIPANTS： Forty-three patients with acute spinal cord injury were admitted to the Department of Spine Surgery, First Affiliated Hospital of Nanjing Medical University, between October 2005 and September 2007. These patients were recruited for the present study. The patients comprised 33 males and 10 females, and all met with the inclusive criteria namely, the time between suffering from acute spinal cord injury and receiving treatment was less than or equal to eight hours. METHODS： According to the protocol determined by the State Second Conference of Acute Spinal Cord Injury of USA, all patients received the drop-wise administration of a 30-mg/kg dose of methylprednisolone （H200040339, 500 mg/bottle, Pharmacia N.V/S.A, Belgium） for 15 minutes within 8 hours post injury. After a 45-minute interval, methylprednisolone was administered at 5.4 mg/kg/h for 23 hours. MAIN OUTCOME MEASURES： Prior to and post treatment, acupuncture sense and light touch scoring were performed at 28 dermatomic area key points, including occipital tuberosity and supraclavicular fossa. At the same time, motor scoring of key muscles among 10 pairs of sarcomeres was also performed. RESULTS： All 43 patients participated in the fi

关键词： methylprednisolone acute spinal cord injury sensory and motor function

Application of transparent soil model tests to study the soil-rock interfacial sliding mechanism

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Journal of Mountain Science 2019年第4期16卷 935-943页

作者： wang zhuang LI Chi DING Xuan-ming Department of Civil Engineering Inner Mongolia University of Technology Key Laboratory of New Technology for Construction of Cities in Mountain Area Ministry of Education Chongqing University

When transparent soil technology is used to study the displacement of a slope, the internal deformation of the slope can be visualized. We studied the sliding mechanism of the soil-rock slope by using transparent soil technology and considering the influence of the rock mass Barton joint roughness coefficient, angle of the soil mass, angle of the rock mass and soil thickness factors on slope stability. We obtained the deformation characteristics of the soil and rock slope with particle image velocimetry and the laser speckle technique. The test analysis shows that the slope sliding can be divided into three parts: displacements at the top, the middle, and the bottom of the slope; the decrease in the rock mass Barton joint roughness coefficient, and the increase in soil thickness, angles of the rock mass and soil mass lead to larger sliding displacements. Furthermore, we analyzed the different angles between the rock mass and soil thickness. The test result shows that the displacement of slope increases with larger angle of the rock mass. Conclusively, all these results can help to explain the soil-rock interfacial sliding mechanism.

关键词： Slope engineering Transparent soil Model test Interfacial sliding mechanism

A modified OMP method for multi-orbit three dimensional ISAR imaging of the space target

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Journal of Systems Engineering and Electronics 2023年第4期34卷 879-893页

作者： JIANG Libing ZHENG Shuyu YANG Qingwei YANG Peng wang zhuang Science and Technology on Automatic Target Recognition National University of Defense TechnologyChangsha410073China Xi’an Satellite Measurement and Control Center Xi’an 710600China

The conventional two dimensional(2D)inverse synthetic aperture radar(ISAR)imaging fails to provide the targets'three dimensional(3D)*** this paper,a 3D ISAR imaging method for the space target is proposed based on mutliorbit observation data and an improved orthogonal matching pursuit(OMP)***,the 3D scattered field data is converted into a set of 2D matrix by stacking slices of the 3D data along the elevation direction ***,an improved OMP algorithm is applied to recover the space target's amplitude information via the 2D matrix ***,scattering centers can be reconstructed with specific three dimensional *** simulations are provided to demonstrate the effectiveness and superiority of the proposed 3D imaging method.

关键词： three dimensional inverse synthetic aperture radar(3D ISAR)imaging space target improved orthogonal matching pursuit(OMP)algorithm scattering centers

GS-orthogonalization OMP method for space target detection via bistatic space-based radar

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Chinese Journal of Aeronautics 2024年第7期37卷 333-351页

作者： Shuyu ZHENG Libing JIANG Qingwei YANG Yingjian ZHAO zhuang wang National Key Laboratory of Science and Technology on Automatic Target Recognition College of Electronic Science and TechnologyNational University of Defense TechnologyChangsha 410073China

A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and it can detect focused space targets more flexibly than the monostatic radar system or the ground-based radar ***,the target echo signal is more difficult to process due to the high-speed motion of both space-based radars and space *** be specific,it will encounter the problems of Range Cell Migration(RCM)and Doppler Frequency Migration(DFM),which degrade the long-time coherent integration performance for target detection and localization *** solve this problem,a novel target detection method based on an improved Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm is proposed in this ***,the echo model for bistatic space-based radar is constructed and the conditions for RCM and DFM are ***,the proposed GS-orthogonalization OMP method is applied to estimate the equivalent motion parameters of space ***,the RCM and DFM are corrected by the compensation function correlated with the estimated motion ***,coherent integration can be achieved by performing the Fast Fourier Transform(FFT)operation along the slow time direction on compensated echo *** simulations and real raw data results validate that the proposed GS-orthogonalization OMP algorithm achieves better motion parameter estimation performance and higher detection probability for space targets detection.

关键词： Bistatic space-based radar High-speed maneuvering space targets detection Range Cell Migration(RCM) Doppler Frequency Migration(DFM) Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm

Identification of green tea origins by near-infrared (NIR) spectroscopy and different regression tools

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Science China(Technological Sciences) 2017年第1期60卷 84-90页

作者： zhuang XinGang wang LiLi CHEN Qi WU XueYuan FANG JiaXiong Advanced Research Center for Optics Shandong University Jinan 250100 China School of Information Science and Engineering Shandong University Jinan 250100 China State Key Laboratories of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China State Key Laboratory of Tea and Agricultural Products Detection (Huangshan) Huangshan 245000 China

In this study,near-infrared(NIR) spectroscopy was applied to efficiently and non-destructively identify Shandong green tea origins coupled with three different regression *** results indicated that partial least squares(PLS) had better performance than back propagation artificial neural network(BP-ANN) and support vector machine(SVM).For PLS,the accuracies of identification were up to 100% for both training and *** results sufficiently demonstrate that NIR spectroscopy can be efficiently utilized for the non-destructive identification of green tea origins.

关键词： near-infrared spectroscopy (NIRS) green tea origin regression tool