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Bioinspired Polarized Optical Flow Enables Turbid Underwater Target Motion Estimation

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Journal of Ocean University of China 2024年第4期23卷 915-923页

作者： CHENG Haoyuan ZHAO Shujie ZHU Jinchi YU Hao chu Jinkui College of Engineering Ocean University of ChinaQingdao 266100China Key Laboratory for Micro/Nano Technology and System of Liaoning Province Dalian University of TechnologyDalian 116024China

Underwater target motion estimation is a challenge for ocean military and scientific *** this work,we propose a method based on the combination of polarization imaging and optical flow for turbid underwater target *** imaging can reduce the influence of backscattered light and obtain high-quality images *** optical flow shows the motion and structural information of the *** use polarized optical flow to obtain the optical flow field and estimate the target *** experimental results of different targets under varying water turbidity levels illustrate that our method is realizable and *** precision is verified by comparing the results with the precise displacement data and calculating two error *** proposed method based on polarized optical flow can obtain accurate displacement information and a good recognition *** target segmentation based on the Otsu method further proves the superiority of the polarized optical flow under turbid *** study is valuable for target detection and motion estimation in scattering environments.

关键词： turbid underwater motion estimation polarization imaging optical flow

Investigation of non-uniform leading-edge tubercles in compressor cascade:Based on multi-objective optimization and data mining

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Chinese Journal of Aeronautics 2024年第7期37卷 134-152页

作者： Jiezhong DONG Wuli chu Haoguang ZHANG Bo LUO Tianyuan JI Ziyun ZHANG School of Power and Energy Northwestern Polytechnical UniversityXi’an 710129China

Corner stall receives noticeable attention in the aeroengine field as an important phenomenon in highly-load ***-uniform leading-edge tubercles,as an effective method to delay stall,are introduced into the *** this paper,the shape of leading-edge tubercles was controlled by a third-order Fourier *** judge corner stall,a more precise stall indicator for compressor cascade with flow control methods was ***,the total kinetic energy of the secondary flow at large incidence was adopted as a parameter for stall evaluation to save computing *** results of multiobjective optimization reveal that the loss coefficient exhibited negligible variation at design incidence,while the total kinetic energy of secondary flow showed a significant reduction at large incidence,resulting in a substantial increase in stall *** the optimal profiling cases,the stall incidencewas delayed from 7.9°to 11.6°.The major purpose of the research is to provide proper design guidelines for nonuniformleading-edge tubercles and uncover the flow controlmechanisms of leading-edge ***,the geometric features that meet different optimization objectives were extracted through geometric analysis near the Pareto Front and through Self-OrganizingMap(SOM)dataminingmethods in the optimization ***,flow field analysis reveals the flow control mechanism of leading-edge *** convex-concave-convex structure at the 0%-70%blade height region can form two branches of leading-edge vortex pairs that are opposite in the rotation direction to the passage *** two branches of leading-edge vortex pairs mixed with the leading-edge separation vortex to form two stronger mixed vortices,which can effectively suppress the development of passage vortex and delay stall incidence.

关键词： Corner stall Non-uniform leading-edge tubercles Stall indicator Stall evaluation parameter Mixed vortex

DLF-YOLOF:an improved YOLOF-based surface defect detection for steel plate

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Journal of Iron and Steel Research International 2024年第2期31卷 442-451页

作者： Guang-hu Liu Mao-xiang chu Rong-fen Gong Ze-hao Zheng School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051LiaoningChina

Surface defects can affect the quality of steel *** methods based on computer vision are currently applied to surface defect detection of steel ***,their real-time performance and object detection of small defect are still *** improved object detection network based on You Only Look One-level Feature(YOLOF)is proposed to show excellent performance in surface defect detection of steel plate,called ***,the anchor-free detector is used to reduce the network ***,deformable convolution network and local spatial attention module are introduced into the feature extraction network to increase the contextual information in the feature ***,the soft non-maximum suppression is used to improve detection accuracy ***,data augmentation is performed for small defect objects during training to improve detection *** show the average precision and average precision for small objects are 42.7%and 33.5%at a detection speed of 62 frames per second on a single GPU,*** shows that DLF-YOLOF has excellent performance to meet the needs of industrial real-time detection.

关键词： Steel surface defects detection YOLOF Anchor-free detector Small object detection Real-time detection

Hybrid modeling for carbon monoxide gas-phase catalytic coupling to synthesize dimethyl oxalate process

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Chinese Journal of Chemical Engineering 2024年第6期70卷 234-250页

作者： Shida Gao Cuimei Bo Chao jiang Quanling Zhang Genke Yang jian chu Ningbo Artificial Intelligence Institute Shanghai Jiao Tong UniversityNingbo 315012China Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Industrial Internet+Safety Production of Hazardous Chemical Ministry of Emergency ManagementNanjing Tech UniversityNanjing 211816China

Ethylene glycol(EG)plays a pivotal role as a primary raw material in the polyester industry,and the syngas-to-EG route has become a significant technical route in *** carbon monoxide(CO)gas-phase catalytic coupling to synthesize dimethyl oxalate(DMO)is a crucial process in the syngas-to-EG route,whereby the composition of the reactor outlet exerts influence on the ultimate quality of the EG product and the energy consumption during the subsequent separation ***,measuring product quality in real time or establishing accurate dynamic mechanism models is *** effectively model the DMO synthesis process,this study proposes a hybrid modeling strategy that integrates process mechanisms and data-driven *** CO gas-phase catalytic coupling mechanism model is developed based on intrinsic kinetics and material balance,while a long short-term memory(LSTM)neural network is employed to predict the macroscopic reaction rate by leveraging temporal relationships derived from archived *** proposed model is trained semi-supervised to accommodate limited-label data scenarios,leveraging historical *** integrating these predictions with the mechanism model,the hybrid modeling approach provides reliable and interpretable forecasts of mass *** investigations unequivocally validate the superiority of the proposed hybrid modeling approach over conventional data-driven models(DDMs)and other hybrid modeling techniques.

关键词： Carbon monoxide Dynamic modeling Hybrid model Reaction kinetics Semi-supervised learning

Risk factors for the prognosis of colon cancer

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World Journal of Gastrointestinal Oncology 2024年第8期16卷 3738-3740页

作者： chu-Ying Wu Kai Ye Department of Gastrointestinal Surgery The Second Affiliated Hospital of Fujian Medical UniversityQuanzhou 362000Fujian ProvinceChina

A study on clinical outcomes and prognostic factors in T4N0M0 colon cancer patients after R0 resection revealed that ileostomy,T stage,right hemicolectomy,irregular follow-up,and CA199 level were independent risk factors affecting overall survival.T4-stage cancer invades the entire thickness of the intestinal tract,increasing the difficulty of treatment and the risk of recurrence,and requires a combination of chemotherapy,immunotherapy,and targeted therapy to control the spread of cancer *** prognosis of right hemicolectomy is significantly worse than that of left hemicolectomy,and right hemicolectomy is an independent risk factor for a poor *** age,histopathological type,and lymph node metastasis are also risk factors for colon cancer.

关键词： Risk factor Prognosis Colon cancer Tumour stage Right hemicolectomy

Location monitoring approach of underground pipelines using time-sequential images

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Underground Space 2024年第2期15卷 59-75页

作者： Haoruo Xu Lei He Yuyang chu Junchen He Huaiguang Xiao Chengmeng Shao School of Civil Engineering Southeast UniversityNanjing 210096JiangsuChina The 3rd branch China Railway 16th Bureau Group Co.LTDHuzhou 313000ZhejiangChina

The location monitoring of underground pipelines is of utmost significance as it helps the effective management and maintenance of the pipelines,and facilitates the planning of nearby projects,preventing damage to the ***,currently there is a serious lack of data on the locations of underground *** paper proposes an image-based approach for monitoring the locations of underground pipelines by combing deep learning and visual-based *** proposed approach can build the monitoring model for underground pipelines and characterize their locations through their centroid *** advantages are:(1)simplicity:it only requires time-sequential images of the inner walls of underground pipelines;(2)clarity:the location model and the location curve of underground pipelines can be provided quickly;(3)robustness:it can cope with some existing problems in underground pipelines,such as light variations and small viewing angles.A lightweight approach for monitoring the locations of underground pipelines is *** proposed approach’s effectiveness has been validated through laboratory simulation experiments,demonstrating accuracy at the millimeter level.

关键词： Underground pipelines Location monitoring Time-sequential images Visual-based reconstruction Deep learning

Recent Advances in Photochemical/Electrochemical Carboxylation of Olefins with CO_(2)

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Chinese Journal of Chemistry 2024年第18期42卷 2249-2266页

作者： Qian Wang Yanwei Wang Min Liu Ganghui chu Youai Qiu Xinjiang Laboratory of Native Medicinal and Edible Plant Resources Chemistry College of Chemistry and Environmental ScienceKashiUniversityKashiXinjiang844000China state Key Laboratory and Institute of Elemento-Organic Chemistry Frontiers Science Centerfor New Organic MatterCollege of Chemistry NankaiUniversity94WeijinRoadTianjin300071China

CO_(2) is an abundant,nontoxic,and renewable C1 feedstock in synthetic *** carboxylation of readily available olefins incorporating CO_(2) is regarded as a promising strategy to access high value-added carboxylic acids as well as CO_(2) ***,due to the thermodynamic stability and kinetic inertness of CO_(2) and the difficulty in controlling the regioselectivity,the carboxylation of olefins with CO_(2) still remains ***-type functionalization with olefins represented a powerful protocol and enabled the development of novel transformations in this *** recently,the advance of new technology,such as photoredox catalysis and the renaissance of electrochemistry in organic synthesis,offered access to unique chemical reactivities of radical precursors and provided new solutions to the functionalization of olefins.

关键词： CO_(2) Carboxylation Olefins Photocatalysis Electrocatalysis Radical Reduction Difunctionalization

Data-driven discovery of formation ability descriptors for high-entropy rare-earth monosilicates

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Journal of Materiomics 2024年第3期10卷 738-747页

作者： Hong Meng Peng Wei Zhongyu Tang Hulei Yu Yanhui chu School of Materials Science and Engineering South China University of TechnologyGuangzhou510641China

Herein we establish formation ability descriptors of high-entropy rare-earth monosilicates(HEREMs)via the data-driven discovery based on the high-throughput solid-state reaction and machine learning(ML)***,adequate high-quality data are generated with 132 samples synthesized by the self-developed high-throughput solid-state reaction apparatuses,and 30 potential descriptors are considered in ML *** classifications are proposed to study the phase formation of HEREMs via the ML approach combined with the genetic algorithm:(Ⅰ)to distinguish pure HEREMs(X)from other phases and(Ⅱ)to categorize the detail phases of HEREMs(X2,X1,or X2+X1).Four formation ability descriptors(r_(Me),EF,d_(Eg),and d_(Z*))with a high validation accuracy(96.2%)are proposed as the optimal combination for Classification I,where a smaller r_(Me)is determined to have the most significant influence on the formation of *** ClassificationⅡ,a 100%validation accuracy is achieved by using only two formation ability descriptors(rion and d_(Z*)),where the rion is analyzed to be the dominant feature and a lower rion is beneficial to the formation of *** on our established formation ability descriptors,6,045 unreported multicomponent silicates are explored,and 3,478 new HEREMs with 2,700 X2-and 423 X1-HEREMs are predicted.

关键词： High-entropy rare-earth monosilicates Formation ability descriptors High-throughput experiments Machine learning

Blade Wrap Angle Impact on Centrifugal Pump Performance:Entropy Generation and Fluid-Structure Interaction Analysis

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 109-137页

作者： Hayder Kareem Sakran Mohd Sharizal Abdul Aziz chu Yee Khor School of Mechanical Engineering Universiti Sains MalaysiaEngineering CampusNibong TebalPenang14300Malaysia Chemical Engineering Department Faculty of EngineeringAl-Muthanna UniversityMuthanna66001Iraq Faculty of Mechanical Engineering&Technology Universiti Malaysia Perlis(UniMAP)ArauPerlis02600Malaysia

The centrifugal pump is a prevalent power equipment widely used in different engineering patterns,and the impeller blade wrap angle significantly impacts its performance.A numerical investigation was conducted to analyze the influence of the blade wrap angle on flow characteristics and energy distribution of a centrifugal pump evaluated as a low specific speed with a value of *** study investigates six impellermodels that possess varying blade wrap angles(95°,105°,115°,125°,135°,and 145°)that were created while maintaining the same volute and other geometrical *** investigation of energy loss was conducted to evaluate the values of total and entropy generation rates(TEG,EGR).The fluid-structure interaction was considered numerically using the software tools ANSYS Fluent and *** elastic structural dynamic equation was used to estimate the structural response,while the shear stress transport k–ωturbulence model was utilized for the fluid domain *** findings suggest that the blade wrap angle has a significant influence on the efficiency of the *** impeller featuring a blade wrap angle of 145°exhibits higher efficiency,with a notable increase of 3.76%relative to the original *** in the blade wrap angle impact the energy loss,shaft power,and pump *** model with a 145°angle exhibited a maximum equivalent stress of 14.8MPa and a total deformation of 0.084 *** results provide valuable insights into the intricate flow mechanism of the centrifugal pump,particularly when considering various blade wrap angles.

关键词： Centrifugal pump blade wrap angle entropy generation theory fluid-structure interaction hydraulic performance