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Automatic gating and riser system design and defect control for K4169 superalloy guide blade casting based on parametric 3D modeling-simulation integrated system 认领 引用 被引量：1
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作者 Le-chuan Li Ya-jun Yin +4 位作者 Bing-zheng Fan Guo-yan Shui Xiao-yuan Ji Jian-xin Zhou Lei Jin 《China Foundry》 SCIE EI CAS CSCD 2026年第1期20-30,共11页
Automation and intelligence have become the primary trends in the design of investment casting processes.However,the design of gating and riser systems still lacks precise quantitative evaluation criteria.Numerical si... Automation and intelligence have become the primary trends in the design of investment casting processes.However,the design of gating and riser systems still lacks precise quantitative evaluation criteria.Numerical simulation plays a significant role in quantitatively evaluating current processes and making targeted improvements,but its limitations lie in the inability to dynamically reflect the formation outcomes of castings under varying process conditions,making real-time adjustments to gating and riser designs challenging.In this study,an automated design model for gating and riser systems based on integrated parametric 3D modeling-simulation framework is proposed,which enhances the flexibility and usability of evaluating the casting process by simulation.Firstly,geometric feature extraction technology is employed to obtain the geometric information of the target casting.Based on this information,an automated design framework for gating and riser systems is established,incorporating multiple structural parameters for real-time process control.Subsequently,the simulation results for various structural parameters are analyzed,and the influence of these parameters on casting formation is thoroughly investigated.Finally,the optimal design scheme is generated and validated through experimental verification.Simulation analysis and experimental results show that using a larger gate neck(24 mm in side length) and external risers promotes a more uniform temperature distribution and a more stable flow state,effectively eliminating shrinkage cavities and enhancing process yield by 15%. 展开更多
关键词 numerical simulation automatic design investment casting parametric 3D modeling gating and riser system
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Checkpointing-Assisted Automatic Differentiation Full Waveform Inversion 认领 引用
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作者 SUN Jian JIN Chunwang +3 位作者 WAN Xiaolei DU Bo LIU Ying GENG Xiangfeng 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第2期384-394,共11页
Full waveform inversion(FWI)is a powerful technique for high-resolution subsurface imaging in seismic exploration.The emergence of automatic differentiation full waveform inversion(ADFWI)further enhances this process ... Full waveform inversion(FWI)is a powerful technique for high-resolution subsurface imaging in seismic exploration.The emergence of automatic differentiation full waveform inversion(ADFWI)further enhances this process by enabling more accurate and efficient gradient computation through automatic differentiation,simplifying the implementation of complex workflows and reducing human error.However,the memory requirements of ADFWI are drastically higher than those of traditional FWI,as the entire computation graph must be retained for ADFWI,necessitating the storage of numerous intermediate states.To address this challenge,we propose checkpointing-assisted and disk-checkpointed strategies that reduce memory usage by selectively saving and recomputing intermediate states during the backward pass.This paper discusses the impact of different checkpointing strategies on memory usage,runtime performance,and inversion accuracy.We analyze the trade-offs of varying the number of checkpoints and find that the relationship between memory usage and runtime is nonlinear,following a U-shaped curve.Additionally,the inversion accuracy decreases as the number of checkpoints increases.Field data applications in the Chicxulub Crater confirm that the method is robust,achieving memory-efficient inversions with geologically consistent results under hardware constraints.Experimental results highlight the importance of carefully balancing memory efficiency,computational overhead,and accuracy when selecting the optimal checkpointing strategy.This study concludes that a systematic trade-off analysis is essential for determining the best parameters in large-scale or complex-media inversion scenarios. 展开更多
关键词 full waveform inversion automatic differentiation checkpointing
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Multiparameter Full Waveform Inversion Based on Automatic Differentiation for Acoustic-Viscoelastic Fluid-Solid Coupled Equations and Its Application to Actual OBN Seismic Data 认领 引用
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作者 WANG Yandong WANG Jianhua +1 位作者 SUN Wenbo GAO Xianwei 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第2期371-383,共13页
In marine seismic exploration,the seismic wave propagation environment is considered a fluid-solid coupled medium,where the upper layer is a fluid medium,and the lower layer is a solid medium.Traditional full waveform... In marine seismic exploration,the seismic wave propagation environment is considered a fluid-solid coupled medium,where the upper layer is a fluid medium,and the lower layer is a solid medium.Traditional full waveform inversion(FWI)techniques neglect the effects of fluid-solid coupling,whereas recent developments in FWI for fluid-solid coupled media fail to achieve multiparameter inversion,including the quality factor(Q).The present study constructs fluid-solid coupled equations using acoustic-viscoelastic wave equations and implements multiparameter FWI under an automatic differentiation framework.In the proposed approach,gradients are directly computed through the chain rule,avoiding the explicit calculations and backpropagation of adjoint sources,considerably simplifying the application of multiparameter FWI to fluid-solid coupled equations.Model experiments indicate that the proposed multiparameter FWI algorithm based on acoustic-viscoelastic wave fluid-solid coupling can simultaneously invert P-wave velocity,S-wave velocity,and Q models.Furthermore,the method proves suitable for the FWI of actual ocean-bottom node data. 展开更多
关键词 full waveform inversion viscoelasticity fluid-solid coupling automatic differentiation
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Research on the reliability of motion accuracy for ammunition conveyor in artillery automatic loading system 认领 引用
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作者 Guangsong Chen Junhua Chen +1 位作者 Jinsong Tang Yongji Liu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第1期102-114,共13页
The automatic loading systems of artillery are critical for the accurate,efficient,and reliable delivery of pro-jectiles and propellants into the gun chamber.In modern artillery,the ammunition conveyor serves as the e... The automatic loading systems of artillery are critical for the accurate,efficient,and reliable delivery of pro-jectiles and propellants into the gun chamber.In modern artillery,the ammunition conveyor serves as the end effector of the automatic loading system,and its motion state significantly impacts the accuracy of projectiles.Therefore,it is of immense importance to precisely and effectively evaluate the reliability of the motion accuracy of the ammunition conveyor.This paper aims to propose a practical and efficient analysis method for evaluating the reliability of the motion accuracy of the ammunition conveyor.The proposed approach involves the use of a deep learning network to approximate the physical model and the extremum method to obtain a single cycle sequence decoupling strategy for solving the time-varying reliability issue of complex systems.Employing this strategy,the time-varying reliability of the ammunition conveyor is transformed into a static reliability problem.The proposed method includes the use of a deep feedforward neural network,second-order saddle point ap-proximation(SPA)method,extremum method,and efficient global optimization(EGO)technology.The results reveal that the reliability of the motion accuracy of the ammunition conveyor is 93.42%,with the maximum failure probability occurring at 0.21 s.These results serve as an important reference for the structural optimi-zation design of the ammunition conveyor based on reliability and the maintenance of the operational process. 展开更多
关键词 Automatic loading system Ammunition conveyor Motion accuracy Reliability Second-order saddle point approximation
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Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging 认领 引用
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作者 Mohamed Lamine Mekhalfi Saigopal Vasudevan +9 位作者 Jorge S.Calado Anh Dong Le Pablo Malvido Fresnillo Jose Ferreira Pedro Garcia Carla Macieira Paul Ian Chippendale Ricardo Jardim-Gonçalves Jose L.Martinez Lastra Fabio Poiesi 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期983-985,共3页
Dear Editor,Automated fish grading and packaging,critical in the seafood industry,have not been simultaneously addressed by prior works using machine vision and robotics.This letter presents a novel proofof-concept ro... Dear Editor,Automated fish grading and packaging,critical in the seafood industry,have not been simultaneously addressed by prior works using machine vision and robotics.This letter presents a novel proofof-concept robotic vision system for automatic,size-based fish grading and packaging.Our system classifies frozen fish steaks into two size grades and localizes them on a conveyor belt for robotic pickand-place via a specialized end-effector.Experiments achieved a grading accuracy of 87.6%and a robotic packaging rate of 87%,demonstrating the potential of vision-guided robotics for automated food quality inspection and handling. 展开更多
关键词 seafood industry packaging automatic fish grading frozen fish steaks conveyor belt robotic packag vision guided robotics machine vision
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IQTF-GFN:A Gated dual-path network for automatic modulation classification of dual-component overlapping emitter signals 认领 引用
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作者 Lizhi Zhang BoHan Zhang +3 位作者 Xinhong Hao Jian Dai Chaowen Hou Xiaopeng Yan 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第5期201-216,共16页
Achieving reliable modulation recognition for overlapping dual-component emitter signals in dense,low signal-to-noise ratio(SNR)electromagnetic environments presents a formidable challenge for modern electronic reconn... Achieving reliable modulation recognition for overlapping dual-component emitter signals in dense,low signal-to-noise ratio(SNR)electromagnetic environments presents a formidable challenge for modern electronic reconnaissance.Conventional deep learning approaches,which primarily rely on time-frequency images(TFIs),often overlook intrinsic physical properties of signals,resulting in substantial performance degradation under severe noise conditions.To address this,we propose the I/Q and Time-Frequency Gated Fusion Network(IQTF-GFN),a novel cross-modal fusion framework that systematically integrates physical priors into advanced deep learning architectures.The framework employs a parallel dual-branch structure to jointly process one-dimensional(1D)I/Q sequences and twodimensional(2D)TFIs.Its key innovations include the incorporation of physical priors into the I/Q branch via a Higher-Order Statistics(HOS)pathway for noise-invariant feature extraction,an attentiondriven Multi-Instance Learning(MIL)mechanism in the TFI branch to adaptively emphasize salient spectral regions,and a task-aware gating network for dynamic and intelligent fusion.Extensive experiments across 10 Monte Carlo trials demonstrate that IQTF-GFN sets a new state-of-the-art(SOTA)benchmark in both robustness and efficiency.Under the challenging condition of-9 d B SNR,the framework achieves an average Exact Match Ratio(EMR)of 94.11%,outperforming the strongest baseline by more than 11 percentage points.Remarkably,this performance is delivered by a highly efficient architecture with only 19.64 million parameters and 1.38 GFLOPs.The design reduces the theoretical computational load by up to 78%and achieves a practical inference latency of just 0.52 ms per sample.By combining high accuracy with computational efficiency,IQTF-GFN provides a robust and practical solution,introducing a new paradigm for embedding physical priors into deep learning for complex electromagnetic signal recognition. 展开更多
关键词 Overlapping emitter signals Automatic modulation classification(AMC) Multi-modal fusion Physical prior Low signal-to-noise ratio(SNR) Gated mechanism
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Multi-Frame Cross-Channel Attention and Speaker Diarization Based Speaker-Attributed Automatic Speech Recognition System for Multi-Channel Multi-Party Meeting Transcription 认领 引用
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作者 XU Luzhen YAN Haoyin +5 位作者 HE Maokui GUO Zixian ZHOU Yeping LIU Peiqi ZHANG Jie DAI Lirong 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第2期298-304,共7页
This paper describes a speaker-attributed automatic speech recognition(SA-ASR)system submitted to the multi-channel multi-party meeting transcription challenge,which aims to address the“who spoke what”problem.We ali... This paper describes a speaker-attributed automatic speech recognition(SA-ASR)system submitted to the multi-channel multi-party meeting transcription challenge,which aims to address the“who spoke what”problem.We align the serialized output training-based multi-speaker ASR hypotheses and speaker diarization(SD)results to obtain speaker-attributed transcriptions.We use a pre-trained multi-frame cross-channel attention(MFCCA)model as the ASR module.We build a cascade system which includes a pre-trained speaker overlapaware neural diarization and target-speaker voice activity detection model as the SD module.Decoding and alignment strategies are further used to improve the SA-ASR performance.Our proposed system outperforms the baseline with a relative improvement of 40.3%in terms of concatenated minimum-permutation character error rate on the AliMeeting dataset,which ranks top-3 on the fixed sub-track. 展开更多
关键词 multi-channel multi-party meeting transcription speaker-attributed automatic speech recognition(SA-ASR) serialized output training speaker diarization concatenated minimum-permutation character error rate
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Edge-Optimized Automatic Number Plate Recognition for IoT-Based Smart Parking Using YOLOv8 认领 引用
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作者 Mohammad Ebrahimishadman Alireza Souri 《Computers, Materials & Continua》 SCIE EI 2026年第9期1928-1945,共18页
Automatic Number Plate Recognition(ANPR)is widely used in Intelligent Transportation Systems(ITS)and smart parking applications,but running deep learning-based ANPR directly on low-power edge devices remains difficult... Automatic Number Plate Recognition(ANPR)is widely used in Intelligent Transportation Systems(ITS)and smart parking applications,but running deep learning-based ANPR directly on low-power edge devices remains difficult because of computation time,memory,and latency limitations.In this study,we develop an edge-oriented ANPR pipeline for an Internet of Things(IoT)-based sensor-triggered stop-and-go smart parking platform,targeting deployment on a resource-constrained edge device.The pipeline combines YOLOv8 for license plate detection,PaddleOCR for text recognition,and a rule-based normalization stage to reduce Optical Character Recognition(OCR)errors caused by spacing inconsistencies and plate-format variations.In the OCR-only ablation study conducted on cropped plate images,PaddleOCR outperformed the other OCR options evaluated,achieving up to 96.0%exact-match accuracy and 98.78%character-level accuracy,with an average OCR-only processing time of 52.55 ms per image.When evaluated as a complete end-to-end pipeline on a Raspberry Pi with ONNX Runtime,the system achieved 83.5%exact-match accuracy and 94.83%character-level accuracy,with an average end-to-end latency of 1713 ms per image,indicating that edge-side operation is feasible for sensor-triggered parking entry and exit events despite CPU-only hardware constraints.In addition to the ANPR module,the proposed platform connects edge devices with Firebase services and Flutter-based user applications for parking status updates,user interaction,reservation matching,and access logs.These results show that a low-cost edge-based ANPR architecture can support practical sensor-triggered smart parking operations without depending on continuous cloud-side inference. 展开更多
关键词 Automatic number plate recognition(ANPR) edge computing Internet of Things(IoT) PaddleOCR Raspberry Pi smart parking systems YOLOv8
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The Impact and Response of Automatic Driving Technology Standards on the Determination of Criminal Responsibility for Traffic Accidents in China 认领 引用
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作者 Sun Jianfeng 《科技与法律（中英文）》 CSSCI 2026年第1期134-148,共15页
With the continuous progress of automatic driving technology,automatic driving technology standards are gradually affecting the determination of criminal responsibility for traffic accidents in China.At present,the ch... With the continuous progress of automatic driving technology,automatic driving technology standards are gradually affecting the determination of criminal responsibility for traffic accidents in China.At present,the characteristics and tendency of China's automatic driving technology standards present the situation of high policy relevance coexisting with low normative binding,professionalism coexist with barriers,forefront coexist with ambiguity.Therefore,challenges are presented both theoretically and practically on the determination of criminal responsibility based on automatic driving technology standard..In this regard,the misunderstanding should be clarified in theory:The legal order under the automatic driving technology standard has constitutionality and systematic,and there is a balance between the frontier of automatic driving technology development and the lagging of criminal law.The automatic driving technology risk level system should be built to clarify the boundary of the effectiveness of criminal law norms,seeking fora breakthrough in the application of the establishment of a comprehensive judgment system of the risks and accidents and the system of evidence to prove the system,which clarifies the determination of criminal responsibility under the automatic driving technology standard.This essay hopes to pursue breakthroughs in the application-to establish a comprehensive judgment system of risks and accidents as well as an evidence proof system,so as to clarify the determination of criminal responsibility under automatic driving technology standards. 展开更多
关键词 automatic driving traffic accidents criminal responsibility legal order
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Automatic for the People AI is reshaping diagnosis,but who is responsible when it goes wrong? 认领 引用
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作者 Wang Zhe 《China Report ASEAN》 2026年第2期55-57,共3页
At Beijing Tongren Hospital,an AI-powered retinal screening system can screen for 10 chronic illnesses from just two photos in two minutes.Using one fundus image from each eye,it scans for early signs of diabetic reti... At Beijing Tongren Hospital,an AI-powered retinal screening system can screen for 10 chronic illnesses from just two photos in two minutes.Using one fundus image from each eye,it scans for early signs of diabetic retinopathy,hypertension,atherosclerosis and other conditions,with a reported accuracy of about 90 percent. 展开更多
关键词 diabetic retinopathyhypertensionatherosclerosis responsibility chronic illnesses accuracy AI screen chronic illnesses automatic retinal screening
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Design of an Automatic Meteorological Observation System for Aquaculture Based on STM32 认领 引用
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作者 Hongzhi HUANG Xueqin LV +1 位作者 Ya HUO Jiajian ZHOU 《Meteorological and Environmental Research》 2026年第2期5-8,13,共4页
Aiming at the problems of single meteorological monitoring elements and lack of specialized equipment in the current aquaculture activities,an automatic meteorological observation system for aquaculture based on STM32... Aiming at the problems of single meteorological monitoring elements and lack of specialized equipment in the current aquaculture activities,an automatic meteorological observation system for aquaculture based on STM32 high-performance processing chip has been designed.By building functional modules such as system initialization,data collection and quality control,and packet transmission,the system can collect real-time gradient water temperature,water quality,and other element data.At the same time,it uses mobile 4G and Beidou communication methods to upload messages to the data receiving center,achieving observation as application.Additionally,a comparative analysis was conducted between the operation data of the portable monitoring instrument and the automatic meteorological observation system for aquaculture,which preliminarily verified the accuracy of the data collected by the automatic meteorological observation system for aquaculture.The practical application effect shows that the automatic meteorological observation system for aquaculture runs stably,measures accurately,and transmits in a timely manner,which better meets the meteorological monitoring needs of aquaculture activities. 展开更多
关键词 STM32 Automatic meteorological observation system for aquaculture Water quality Data collection and quality control
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Research on Automatic Identification of Colorectal Cancer Cells Based on Machine Learning Strategies and Analysis of their Morphological Heterogeneity and Prognostic Value 认领 引用
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作者 Yanna Ding 《Journal of Clinical and Nursing Research》 2026年第2期56-61,共6页
In the fast-paced living environment, changes in dietary patterns have led to a continuous increase in the incidence and mortality rates of colorectal cancer (CRC), making it a prevalent malignant tumor of the digesti... In the fast-paced living environment, changes in dietary patterns have led to a continuous increase in the incidence and mortality rates of colorectal cancer (CRC), making it a prevalent malignant tumor of the digestive system worldwide. Currently, CRC clinical diagnosis and treatment face challenges such as high costs and persistently high recurrence rates. Traditional quantification of tumor-infiltrating lymphocytes (TILs) relies on manual analysis and judgment, resulting in low diagnostic efficiency and susceptibility to subjective factors, leading to missed or misdiagnosed cases. To enhance the efficiency and quality of CRC clinical diagnosis and treatment, this study explores domestic and international research on the automatic identification of CRC cells using machine learning strategies. It analyzes the morphological heterogeneity and prognostic value in the application of this strategy, aiming to deepen the understanding of intelligent tool applications in precise diagnosis, treatment, and prognostic evaluation of colorectal cancer, comprehend the current research status and development trends, and provide references for addressing and addressing the gaps in related research. 展开更多
关键词 Machine learning Colorectal cancer cells Automatic identification Morphological heterogeneity
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Research on Automatic Bridge Quality Defect Detection Technology Based on Image Recognition 认领 引用
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作者 XIE Wei 《外文科技期刊数据库（文摘版）工程技术》 2026年第4期155-159,共5页
With the continuous advancement and long-term utilization of domestic transportation infrastructure, health monitoring of bridge structures and inspection of quality defects have become critical measures for ensuring ... With the continuous advancement and long-term utilization of domestic transportation infrastructure, health monitoring of bridge structures and inspection of quality defects have become critical measures for ensuring public safety and property protection. Traditional manual inspection methods for bridge defects suffer from low efficiency, reliance on personal experience, high operational risks, and challenges in unified data management. The rapid progress in computer vision and image recognition technologies has opened new possibilities for automated and intelligent bridge inspection. This paper explores automated detection methods for bridge quality defects using image recognition techniques, aiming to enhance the fairness, efficiency, and accuracy of inspection processes. First, it summarizes common types of bridge surface defects and their visual characteristics, while discussing limitations of conventional inspection approaches and the importance of image recognition technology. Subsequently, it reviews practical applications of digital image processing and computer vision in construction inspection, highlighting current shortcomings of automated systems regarding complex backgrounds, fine defects, and model adaptability. Based on these findings, the study proposes a comprehensive automated detection framework for bridge surface defect images. This solution systematically outlines the entire process from image acquisition to post-processing, featuring a specialized defect identification model developed with enhanced convolutional neural networks that improves detection capabilities for subtle cracks, surface delamination, and corrosion through structural optimization, while providing graphical visualization and quantitative data representation of inspection results. To verify the reliability of this method, researchers specifically compiled a database of bridge images containing various common defects for testing. 展开更多
关键词 Bridge inspection Image recognition Automatic defect detection Convolutional neural network Computer vision
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Design of a High-Voltage Constant-Voltage/Constant-Current Power Supply Based on a PSFB Topology and an Automatic Frequency-Conversion Strategy 认领 引用
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作者 Yuepu Sun 《Journal of Electronic Research and Application》 2026年第7期63-74,共12页
To meet the requirements for wide-range output, current-limit protection, and stable closed-loop control in high-voltage capacitor charging, laboratory high-voltage sources, and pulse-power preamplifier systems, this ... To meet the requirements for wide-range output, current-limit protection, and stable closed-loop control in high-voltage capacitor charging, laboratory high-voltage sources, and pulse-power preamplifier systems, this paper presents a high-voltage constant-voltage/constant-current power supply based on a phase-shifted full-bridge (PSFB) topology. The supply operates from a typical 24 V low-voltage DC input and uses a 1:100 high-frequency transformer for isolated step-up conversion. Its output control range is 0-2200 V and 0-200 mA, with a rated power limit of 400 W. The controller uses an STM32G474CBT6, which generates four complementary phase-shifted gate-drive signals through the HRTIM module and samples secondary-side voltage, secondary-side current, primary-side current, auxiliary-supply status, and temperature feedback with an ADC synchronized to the switching cycle. The control algorithm calculates the constant-voltage, constant-current, and constant-power PI loops in parallel and selects the actual phase-shift duty cycle through minimum-duty-cycle arbitration. To reduce the efficiency fluctuation of fixed-frequency PSFB operation at very low and very high duty cycles, an automatic frequency-conversion strategy is introduced. Frequency increase or reduction within 11-45 kHz is selected according to the duty-cycle state, while score-counter hysteresis, a lockout window, and feedforward duty-cycle correction reduce the disturbance caused by frequency changes. Simulation and experimental results show that the prototype provides stable high-voltage output, constant-current charging, constant-voltage load operation, and ZVS turn-on, confirming its practical engineering value. 展开更多
关键词 PSFB Phase-shifted full-bridge High-voltage power supply Constant-voltage/constant-current control Automatic frequency conversion ZVS
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Installation of the Automatic Noise Monitoring Network for Urban Functional Zones and Data Application 认领 引用
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作者 DUAN Lili 《外文科技期刊数据库（文摘版）自然科学》 2026年第1期066-070,共5页
Noise pollution is one of the major environmental pollution issues that harm people's quality of life. According to the "China Noise Pollution Prevention and Control Report (2024)" released by the Minist... Noise pollution is one of the major environmental pollution issues that harm people's quality of life. According to the "China Noise Pollution Prevention and Control Report (2024)" released by the Ministry of Ecology and Environment, in 2023, the number of public complaints about noise disturbances received by departments such as ecology and environment and public security in cities at or above the prefecture level nationwide (excluding municipalities directly under the central government, sub-provincial cities, and cities with independent planning status) reached approximately 5.7million cases, representing an increase of over 7%. To better address the increasingly severe noise pollution problem, the Ministry of Ecology and Environment issued the "Ten Measures for Sound Management" —the "14th Five-Year Plan for Noise Pollution Prevention and Control Action" —in 2023, explicitly proposing the comprehensive establishment of a regional automatic monitoring system for sound environmental quality: by January 1, 2025, all cities where provincial, autonomous region, or municipal governments are located, as well as cities with independent planning status, shall have established regional automatic monitoring stations for sound environmental quality connected to national and provincial platforms. After 2026, all cities at or above the prefecture level nationwide should participate in this automatic monitoring system. 展开更多
关键词 Functional area acoustic environment Automatic noise monitoring Network configuration Data utilization Disturbance level Voiceprint recognition
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Automatic identification of discontinuities and refined modeling of rock blocks from 3D point cloud data of rock surfaces 认领 引用 被引量：3
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作者 Yaopeng Ji Shengyuan Song +5 位作者 Jianping Chen Jingyu Xue Jianhua Yan Yansong Zhang Di Sun Qing Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第5期3093-3106,共14页
The spatial distribution of discontinuities and the size of rock blocks are the key indicators for rock mass quality evaluation and rockfall risk assessment.Traditional manual measurement is often dangerous or unreach... The spatial distribution of discontinuities and the size of rock blocks are the key indicators for rock mass quality evaluation and rockfall risk assessment.Traditional manual measurement is often dangerous or unreachable at some high-steep rock slopes.In contrast,unmanned aerial vehicle(UAV)photogrammetry is not limited by terrain conditions,and can efficiently collect high-precision three-dimensional(3D)point clouds of rock masses through all-round and multiangle photography for rock mass characterization.In this paper,a new method based on a 3D point cloud is proposed for discontinuity identification and refined rock block modeling.The method is based on four steps:(1)Establish a point cloud spatial topology,and calculate the point cloud normal vector and average point spacing based on several machine learning algorithms;(2)Extract discontinuities using the density-based spatial clustering of applications with noise(DBSCAN)algorithm and fit the discontinuity plane by combining principal component analysis(PCA)with the natural breaks(NB)method;(3)Propose a method of inserting points in the line segment to generate an embedded discontinuity point cloud;and(4)Adopt a Poisson reconstruction method for refined rock block modeling.The proposed method was applied to an outcrop of an ultrahigh steep rock slope and compared with the results of previous studies and manual surveys.The results show that the method can eliminate the influence of discontinuity undulations on the orientation measurement and describe the local concave-convex characteristics on the modeling of rock blocks.The calculation results are accurate and reliable,which can meet the practical requirements of engineering. 展开更多
关键词 Three-dimensional(3D)point cloud Rock mass Automatic identification Refined modeling Unmanned aerial vehicle(UAV)
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Clinical observation on prognosis of mixed hemorrhoids treated with polidocanol injection combined with automatic elastic thread ligation operation 认领 引用 被引量：8
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作者 Yan-Mei Huang Dong Ouyang 《World Journal of Gastrointestinal Surgery》 SCIE 2025年第1期209-216,共8页
BACKGROUND A total of 100 patients diagnosed with mixed hemorrhoids from October 2022 to September 2023 in our hospital were randomly divided into groups by dice rolling and compared with the efficacy of different tre... BACKGROUND A total of 100 patients diagnosed with mixed hemorrhoids from October 2022 to September 2023 in our hospital were randomly divided into groups by dice rolling and compared with the efficacy of different treatment options.AIM To analyze the clinical effect and prognosis of mixed hemorrhoids treated with polidocanol injection combined with automatic elastic thread ligation operation(RPH).METHODS A total of 100 patients with mixed hemorrhoids who visited our hospital from October 2022 to September 2023 were selected and randomly divided into the control group(n=50)and the treatment group(n=50)by rolling the dice.The procedure for prolapse and hemorrhoids(PPH)was adopted in the control group,while polidocanol foam injection+RPH was adopted in the treatment group.The therapeutic effects,operation time,wound healing time,hospital stay,pain situation(24 hours post-operative pain score,first defecation pain score),quality of life(QOL),incidence of complications(post-operative hemorrhage,edema,infection),incidence of anal stenosis 3 months post-operatively and recurrence rate 1 year post-operatively of the two groups were compared.RESULTS Compared with the control group,the total effective rate of treatment group was higher,and the difference was significant(P0.05);There was no significant difference in the incidence of anal stenosis 3 months after operation and the recurrence rate 1 year after operation between the two groups(P>0.05).CONCLUSION For patients with mixed hemorrhoids,the therapeutic effect achieved by using polidocanol injection combined with RPH was better.The wounds of the patients healed faster,the postoperative pain was milder,QOL improved,and the incidence of complications was lower,and the short-term and long-term prognosis was good. 展开更多
关键词 Mixed hemorrhoids Polidocanol injection Automatic elastic thread ligation operation Postoperative hemorrhage The degree of pain Recurrent rate
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Design and implementation of automatic gain control algorithm for Ocean 4A scatterometer 认领 引用 被引量：1
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作者 LIU Yongqing LIU Peng +3 位作者 ZHAI Limin LIU Shuyi JIA Yan ZHANG Xiangkun 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第2期344-352,共9页
The Ocean 4A scatterometer, expected to be launched in 2024, is poised to be the world’s first spaceborne microwave scatterometer utilizing a digital beamforming system. To ensure high-precision measurements and perf... The Ocean 4A scatterometer, expected to be launched in 2024, is poised to be the world’s first spaceborne microwave scatterometer utilizing a digital beamforming system. To ensure high-precision measurements and performance sta-bility across diverse environments, stringent requirements are placed on the dynamic range of its receiving system. This paper provides a detailed exposition of a field-programmable gate array (FPGA)-based automatic gain control (AGC) design for the spaceborne scatterometer. Implemented on an FPGA, the algo-rithm harnesses its parallel processing capabilities and high-speed performance to monitor the received echo signals in real time. Employing an adaptive AGC algorithm, the system gene-rates gain control codes applicable to the intermediate fre-quency variable attenuator, enabling rapid and stable adjust-ment of signal amplitudes from the intermediate frequency amplifier to an optimal range. By adopting a purely digital pro-cessing approach, experimental results demonstrate that the AGC algorithm exhibits several advantages, including fast con-vergence, strong flexibility, high precision, and outstanding sta-bility. This innovative design lays a solid foundation for the high-precision measurements of the Ocean 4A scatterometer, with potential implications for the future of spaceborne microwave scatterometers. 展开更多
关键词 spaceborne scatterometer automatic gain control(AGC) field-programmable gate array(FPGA) signal acquisition.
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Adaptive terminal sliding combined super twisting control design and flight tests for automatic carrier landing system 认领 引用 被引量：1
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作者 Zhuoer YAO Daochun LI +1 位作者 Zi KAN Jinwu XIANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第4期437-449,共13页
Considering the challenges posed by external disturbances on carrier-based aircraft land-ing control,higher demands are required for the precision and convergence of the carrier landingcontrol system.First,this paper ... Considering the challenges posed by external disturbances on carrier-based aircraft land-ing control,higher demands are required for the precision and convergence of the carrier landingcontrol system.First,this paper proposes an Adaptive Terminal Sliding Combined Super TwistingControl(ATS-STC)method to address the issues of low precision,slow convergence,and poor dis-turbance rejection capability resulting from external disturbances,such as carrier air-wake and deckmotion.By introducing a nonlinear term into the sliding surface and employing an integralapproach,the proposed ATS-STC method can ensure finite-time convergence and mitigate the chat-tering problem.An adaptive law is also utilized to estimate the external disturbances,therebyenhancing the anti-disturbance performance.Then,the stability and convergence time analysis ofthe designed controller are conducted.Based on the proposed method,an Automatic Carrier Land-ing System(ACLS)is developed to perform the carrier landing control task.Furthermore,a multi-dimensional validation is carried out.For the numerical simulation test,the Terminal Sliding ModeControl(TSMC)method and Proportion Integration Differentiation(PID)method are introducedas comparison,the quantitative assessment results show that the tracking error of TSMC and PIDcan reach 1.5 times and 2 times that of the proposed method.Finally,the Hardware-in-the-Loop(HIL)test and real flight test are conducted.All the experimental results demonstrate that the pro-posed control method is more effective and precise. 展开更多
关键词 Terminal sliding mode control Super twisting control Automatic carrier landing system Numerical methods Hardware-in-the-loop test Flight test
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Artificial intelligence-aided semi-automatic joint trace detection from textured three-dimensional models of rock mass 认领 引用 被引量：1
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作者 Seyedahmad Mehrishal Jineon Kim +1 位作者 Yulong Shao Jae Joon Song 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第4期1973-1985,共13页
It is of great importance to obtain precise trace data,as traces are frequently the sole visible and measurable parameter in most outcrops.The manual recognition and detection of traces on high-resolution three-dimens... It is of great importance to obtain precise trace data,as traces are frequently the sole visible and measurable parameter in most outcrops.The manual recognition and detection of traces on high-resolution three-dimensional(3D)models are relatively straightforward but time-consuming.One potential solution to enhance this process is to use machine learning algorithms to detect the 3D traces.In this study,a unique pixel-wise texture mapper algorithm generates a dense point cloud representation of an outcrop with the precise resolution of the original textured 3D model.A virtual digital image rendering was then employed to capture virtual images of selected regions.This technique helps to overcome limitations caused by the surface morphology of the rock mass,such as restricted access,lighting conditions,and shading effects.After AI-powered trace detection on two-dimensional(2D)images,a 3D data structuring technique was applied to the selected trace pixels.In the 3D data structuring,the trace data were structured through 2D thinning,3D reprojection,clustering,segmentation,and segment linking.Finally,the linked segments were exported as 3D polylines,with each polyline in the output corresponding to a trace.The efficacy of the proposed method was assessed using a 3D model of a real-world case study,which was used to compare the results of artificial intelligence(AI)-aided and human intelligence trace detection.Rosette diagrams,which visualize the distribution of trace orientations,confirmed the high similarity between the automatically and manually generated trace maps.In conclusion,the proposed semi-automatic method was easy to use,fast,and accurate in detecting the dominant jointing system of the rock mass. 展开更多
关键词 Automatic trace detection Digital joint mapping Rock discontinuities characterization Three-dimensional(3D)trace network
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