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Quality-guaranteed Dubins Path Planning for USV Based on Mixed-integer Piecewise linear Programming for Addressing the Extended Minimum-time Intercept Problem 认领 引用 被引量：1
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作者 Xing Zhou Kelin Zhu +3 位作者 Shuang Liu Zhaoqing Li Wenxin Zhang Kang Du 《哈尔滨工程大学学报（英文版）》 CSCD 2026年第1期216-227,共12页
During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive... During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive distance)to a moving target as quickly as possible,resulting in the extended minimum-time intercept problem(EMTIP).Existing research has primarily focused on the zero-distance intercept problem,MTIP,establishing the necessary or sufficient conditions for MTIP optimality,and utilizing analytic algorithms,such as root-finding algorithms,to calculate the optimal solutions.However,these approaches depend heavily on the properties of the analytic algorithm,making them inapplicable when problem settings change,such as in the case of a positive effective range or complicated target motions outside uniform rectilinear motion.In this study,an approach employing a high-accuracy and quality-guaranteed mixed-integer piecewise-linear program(QG-PWL)is proposed for the EMTIP.This program can accommodate different effective interception ranges and complicated target motions(variable velocity or complicated trajectories).The high accuracy and quality guarantees of QG-PWL originate from elegant strategies such as piecewise linearization and other developed operation strategies.The approximate error in the intercept path length is proved to be bounded to h2/(4√2),where h is the piecewise length. 展开更多
关键词 Minimum-time intercept problem Dubins vehicle Mixed-integer piecewise-linear program Linearization Approximate error trigonometric function USV
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An overview of mathematical programming solvers:Theory,development,and recent advances 认领 引用
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作者 Lei HUANG Fan XIAO +2 位作者 Dongdong GE Wotao YIN Zhe LIANG 《ENGINEERING Management》 CSCD 2026年第1期1-16,共16页
Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional meth... Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional methods such as the simplex algorithm and branch‑and‑bound techniques to modern advancements that are facilitated by parallel computing,GPU acceleration,and AI algorithms.We also emphasize the recent emergence of mathematical programming solvers developed by research institutes and companies headquartered in China as major players,who have achieved remarkable success in benchmarks when compared to established solvers.This article provides a comprehensive overview of the theoretical foundations,historical progress,and emerging trends in mathematical programming solvers,offering valuable insights for both researchers and practitioners in the field. 展开更多
关键词 survey mathematical programming solver linear programming mixed‑integer programming nonlinear programming
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Reprogramming induced neurons from olfactory ensheathing glial cells: A feasible approach for spinal cord injury repair 认领 引用
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作者 Javier Sierra María Portela-Lomba +1 位作者 Diana Simón M.Teresa Moreno-Flores 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第1期296-297,共2页
Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disruptin... Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disrupting the neural connections that allow communication between the brain and the rest of the body, which results in varying degrees of motor and sensory impairment. Disconnection in the spinal tracts is an irreversible condition owing to the poor capacity for spontaneous axonal regeneration in the affected neurons. 展开更多
关键词 injury feasible programming
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Multi-phase trajectory programming with divert capability for lunar lander powered descent 认领 引用
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作者 ZHANG Xiaowen WANG Dayi +2 位作者 HUANG Xiangyu LI Ji WANG Tianshu 《中国空间科学技术（中英文）》 CSCD 北大核心 2026年第3期143-156,共14页
It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance perfo... It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance performance.Therefore,when designing the powered descent trajectory,sufficient final phase divert capability should be reserved at the minimum propellant cost.To this end,a multi-phase trajectory programming(MPTP)method for powered descent with approaching phase divert capability is proposed.First,the entire powered descent trajectory is divided into the main braking phase and the approaching phase.The main braking phase is responsible for dissipating the majority of the initial velocity.The approaching phase is responsible for safely and precisely flying toward the landing site.It is nominally a vertical descent trajectory and possesses equal divert capability in all horizontal directions.Then,a constant-thrust linear tangent guidance(LTG)accounting for the lunar curvature is designed for the main braking phase.For the approaching phase,a variable-thrust lossless convex programming(LCP)guidance considering the constraints of tilt angle and glide-slope angle is developed.Subsequently,to connect the two phases and further optimize the propellant consumption throughout the entire trajectory,a method for determining the phase switching condition is proposed.The originally difficult-to-solve two-parameter optimization problem is decomposed into two more easily solvable subproblems,which are solved iteratively via a bilevel optimization framework.Finally,the divert capability of the proposed method is verified through numerical simulation.The programmed trajectory is basically consistent with the results of the pseudospectral method,with the difference in propellant consumption being only 0.006%.This method is suitable for the rapid iterative design of nominal trajectories for lunar lander powered descent in engineering applications. 展开更多
关键词 lunar landing powered descent trajectory programming multi-phase divert capability
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H∞Optimal Output Regulation of Unknown Linear Systems via an Adaptive Dynamic Programming and Internal Model 认领 引用
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作者 Yong-Sheng Ma Jian Sun Yong Xu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1314-1324,共11页
This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal con... This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal control policy and a worst-case disturbance policy through the formulation and solution of a zero-sum game problem.Subsequently,leveraging adaptive dynamic programming,we propose a policy iteration learning algorithm capable of learning both the optimal control policy and the worst-case disturbance policy directly from system data.The existing algorithms necessitate an initial stabilizing policy,a full-rank condition,and the storage of historical data to guarantee algorithm convergence.In contrast,we design a dual policy iteration algorithm equipped with an online learning mechanism,thereby eliminating these additional prerequisites.Simulation results with an antonomous ground vehicle underscore the effectiveness of our proposed algorithm,and its superiority is further demonstrated through comparisons with existing methodologies. 展开更多
关键词 Adaptive dynamic programming internal model principle optimal control output regulation
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Open-loop control of combustion instabilities in a full-scale annular ramjet combustor using linear genetic programming 认领 引用
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作者 Jianguo TAN Zheng XU +2 位作者 Yao LIU Dongdong ZHANG Yi HOU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第2期20-28,共9页
The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programmi... The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programming(LGP)has been developed for a full-scale annular ramjet combustor.The LGP is used to generate control laws that include multi-frequency forcing.These laws are then transformed into square waves to actuate the solenoid valve,which modulates the kerosene supply for open-loop control.The results show that the duty cycle has little effect on instability amplitude,whereas an increase in frequency leads to a remarked reduction in combustion amplitude.After five generations evolvements,the pressure amplitude is reduced by 40.6% under the optimal control law generated by LGP.Furthermore,the machine learning process is depicted using a proximity map of control law similarity,with the search pathway visualized by the steepest descent.All individuals go forward to the upper left corner of the map with the evolution process,terminating at the optimal individual of the fifth generation. 展开更多
关键词 Annular ramjet combustor Combustion instabilities Linear genetic programming Machine learning Open-loop control
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Entry trajectory optimization for cross-domain morphing vehicles by hybrid sequential second-order cone programming 认领 引用
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作者 Zheng Li Zhenyue Jia +2 位作者 Zheng Fang Hongmiao Zhou Jianqiao Yu 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第4期149-175,共27页
This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morp... This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morphing rate control variable and using relaxation techniques to relax the bank angle constraint,the SOCP-based entry problem is constructed.A dynamic relaxation penal-ization technique is developed in the first layer to overcome artificial infeasibility and significantly enhance initialization robustness.A novel standard oscillation identification(SOI)method is proposed to precisely identify the iteration oscillations of basic SSOCP in the second layer,which can significantly improve the solution accuracy.A soft-trust-region strategy is applied in the third layer to eliminate oscillations and accelerate convergence.Simulation results of two scenarios demonstrate that the proposed SOI method effectively avoids non-standard oscillation interference versus traditional methods.The morphing aircraft can complete tasks better with a 7.01%and 10.43%reduction in heat load respectively compared to fixed-wing aircraft.The HSSOCP method can maintain accuracy while reducing computation time by 63.47%and 73.86%versus VATSSOCP.Monte Carlo simulations further validate the robustness. 展开更多
关键词 Cross-domain vehicle Morphing vehicle Entry trajectory optimization Sequential second-order cone programming Iteration oscillation Hybrid scheme
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Entry trajectory optimization for cross-domain morphing vehicles using oscillation-avoidance-based multistage trust-region sequential convex programming 认领 引用
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作者 Zheng LI Zheng FANG +1 位作者 Zhenyue JIA Jianqiao YU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期310-333,共24页
This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(C... This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(CDMVs).The decoupling of states and controls for complex nonlinear dynamics is achieved by defining new control and state variables.A series of sub convex problems is formulated by successive linearization and discretization of the constraints.The proposed Trust-region Sequential Convex Programming(TSCP)scheme consists of three stages:an initial guess generation stage,a basic solution stage,and an optimal solution stage.An approach to penalize the dynamic relaxation is firstly developed to obtain an initial guess with considerable accuracy and significantly improve the robustness of the algorithm by overcoming the drawbacks of potential artificial infeasibility.The oscillation phenomenon of the TSCP method under rectangular trust region is then investigated,and a novel N-shape-based oscillation identification method is proposed to identify the oscillation accurately.Finally,an oscillation-avoidance method based on the sort trust-region is proposed to improve the convergence of the TSCP algorithm.Numerical comparisons of the proposed method and a typical TSCP method,as well as the morphing and fixed-morphing vehicles are provided to demonstrate the effectiveness and efficiency of the proposed method and the performance advantages of the morphing vehicle.The robustness of the method is further verified by Monte Carlo simulation. 展开更多
关键词 Convex optimization Cross-domain vehicle Entry trajectory optimization Morphing vehicle Multistage Oscillation phenomenon Trust-region sequential convex programming
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Nutritional programming through early exposure to soybean meal:Effects on growth performance,intestinal health,metabolism,and microbiota of juvenile largemouth bass(Micropterus salmoides) 认领 引用
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作者 Dujuan Zheng Fernando Y.Yamamoto +2 位作者 Yahong Yao Zhihao Zhou Qiyou Xu 《Animal Nutrition》 SCIE CAS CSCD 2026年第2期545-568,共24页
This study investigated nutritional programming(NP)in largemouth bass(Micropterus salmoides)by examining the long-term effects of early soybean meal(SBM)exposure on growth,immunity,and intestinal health.In Phase 1(fry... This study investigated nutritional programming(NP)in largemouth bass(Micropterus salmoides)by examining the long-term effects of early soybean meal(SBM)exposure on growth,immunity,and intestinal health.In Phase 1(fry stage,28 days),720 fry(28 days post-hatch,initial body weight0.17±0.06 g)were divided into two groups(six replicates per group).They were fed either a fishmeal(FM)-based diet(FM1)or a 15%SBM diet(SBM1).In Phase 2(juvenile stage,56 days),a cross-over feeding trial was conducted,generating four groups(four replicates per group):F1F2,FM1 for phase1 followed by a FM-based diet for phase 2(FM2);F1S2,FM1 followed by a 25%SBM diet(SBM2),S1F2(SBM1 followed by FM2),and S1S2(SBM1 followed by SBM2).Phase 1 SBM feeding(SBM1)impaired fry survival,intestinal relative weight,and villus width(P<0.05),and triggered intestinal inflammation and microbial dysbiosis.Compared to the FM1 group,the SBM 1 group exhibited downregulated expression of key intestinal health-related genes,including the tight junction protein gene claudin-1,the anti-inflammatory factor il-10,and lzm.In contrast,it upregulated the expression of proinflammatory genes,including nf-κb,il-15,and ifn-γ1(P<0.05).In Phase 2,continuous SBM exposure(S1S2 group)impaired growth performance,as evidenced by significantly lower final body weight and a poorer feed conversion ratio(P<0.05),but enhanced hepatic alkaline phosphatase(AKP)and LZM activities(P<0.001).Concurrently,the S1S2 group developed an immunologically tolerant intestinal phenotype,characterized by a significant upregulation(P<0.05)of 1)regulatory T cell(Treg)-related transcription factors,including foxp3 and helios;2)the stat5b;3)immunoregulato ry cyto kines,including tgf-βand il-10;and 4)the immune tolerance-related molecule tnfaip2,without a concomitant increase in the pro-inflammatory il-15.Continuous SBM exposure(S1S2)also improved gut microbiota composition,characterized by increased abundance of Firmicutes and Streptococcus and decreased abundance of Proteobacteria.These changes were accompanied by a significant downregulation of the arachidonic acid metabolic pathway(P<0.05 for all observed changes).In contrast,switching to a fishmeal diet in Phase 2(S1F2 group)rescued growth,increased intestinal villus length and hepatic AKP activity,and alleviated inflammation and apoptosis(P<0.05).These results suggest that NP during the juvenile stage induces physiological adaptations and tolerance to SBM-based diets,highlighting its potential to improve sustainable plant protein use in aquafeeds. 展开更多
关键词 Nutritional programming Soybean meal Intestinal inflammation Metabolomics Microbiota Micropterus salmoides
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两阶段金融衍生品清算问题的一个快速SDP松弛 认领 引用
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作者 黄印 罗和治 《运筹学学报（中英文）》 CSCD 北大核心 2026年第1期108-120,共13页
本文在没有凸性假设下考虑两阶段金融衍生品清算问题,其优化模型为NP-难的带单个非凸二次约束和线性约束的非凸二次规划问题。针对该模型的特殊结构,构造了一个快速的新半定规划(semi-definite programming,SDP)松弛,估计了它与原问题... 本文在没有凸性假设下考虑两阶段金融衍生品清算问题,其优化模型为NP-难的带单个非凸二次约束和线性约束的非凸二次规划问题。针对该模型的特殊结构,构造了一个快速的新半定规划(semi-definite programming,SDP)松弛,估计了它与原问题之间的间隙,并证明了它比文献中已有SDP松弛提供更紧的下界。数值实验表明该SDP松弛能快速得到原问题的一个非常紧的下界,为设计求解原问题全局最优解的分支定界算法提供有效的下界。 展开更多
关键词 金融优化 两阶段金融衍生品清算问题 非凸QCQP SDP松弛
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Thermal performance optimization in CuO-water nanofluid enclosure with sinusoidal heating using deep learning and multi-expression programming 认领 引用
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作者 Naeem Ullah Aneela Bibi +1 位作者 Yufeng Nie Dianchen Lu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期24-48,共25页
Natural convection in enclosures containing nanofluids has attracted significant attention due to its relevance in thermal management systems.In this context,this study presents a comprehensive numerical investigation... Natural convection in enclosures containing nanofluids has attracted significant attention due to its relevance in thermal management systems.In this context,this study presents a comprehensive numerical investigation of flow and heat transfer in a square cavity saturated with water-based CuO nanofluid having a centrally placed sinusoidal-shaped heated element.All the enclosure walls satisfy the no-slip velocity condition.Thermally,the vertical walls are kept at a cold reference temperature,the lower wall is partially heated at its center,and the remaining portions of the lower and entire upper walls are adiabatic.The internal sinusoidal element is also uniformly heated.The flow dynamics and thermal fields are governed by the two-dimensional steady-state Navier-Stokes and energy equations,solved using the Galerkin finite element method.Additionally,a novel hybrid approach integrating multi-expression programming(MEP)technique with a convolutional neural network bidirectional gated recurrent unit(CNN-BiGRU)deep learning network is also applied to enhance flow and thermal prediction accuracy.This hybrid approach enables precise evaluation of how heater waviness,magnetic field orientation,and nanoparticle dispersion influence flow structure and heat transfer.Results reveal stronger convection at high Rayleigh numbers,magnetic damping at increased Hartmann numbers,and higher temperatures with reduced velocity at greater nanoparticle concentrations.Among the analyzed situations,increasing heater waviness improves heat-transfer performance.Both the MEP and CNN-BiGRU models accurately capture the key features of flow and heat transport trends,indicating that the hybrid approach provides enhanced predictive capability for complex convection-driven nanofluid systems. 展开更多
关键词 Magnetohydrodynamic convection Nanofluid flow simulation Sinusoidal heated source Deep learning Multi-expression programming
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基于YOLO11-SDP模型的饰面人造板表面缺陷检测研究 认领 引用
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作者 韩佳锴 吕斌 +5 位作者 王晓欢 张伟 须恺 刁兴良 纪敏 王禾 《木材科学与技术》 CSCD 北大核心 2026年第2期88-97,共10页
饰面人造板作为家居行业的核心原材料,其表面缺陷检测是质量管控的关键环节。当前基于机器视觉与YOLO系列深度学习检测方法已得到广泛应用,但在精确率、召回率等关键指标上仍有提升空间,且在设备资源受限场景下,难以兼顾推理速度与检测... 饰面人造板作为家居行业的核心原材料,其表面缺陷检测是质量管控的关键环节。当前基于机器视觉与YOLO系列深度学习检测方法已得到广泛应用,但在精确率、召回率等关键指标上仍有提升空间,且在设备资源受限场景下,难以兼顾推理速度与检测性能。为进一步优化模型综合性能,将其应用于饰面人造板表面缺陷检测场景,研究提出YOLO11-SDP检测模型,通过采用数据集Mosaic增强、BiFPN模块替换原有FPN模块、损失函数中引入尺度权重因子等3项组合策略对原有模型进行改进。试验结果表明,改进模型YOLO11-SDP精确率达98.0%、召回率达91.3%,较原始模型YOLO11s分别提升6.8%和6.1%。3项改进措施可有效增强模型对小目标的检测能力,提升模型泛化性与鲁棒性;在综合检测性能提升与资源消耗增加的权衡下,尺度权重因子的优化效果优于BiFPN模块,优于Mosaic增强。同时,YOLO11-SDP模型推理速度满足工业实时检测要求,可用于饰面人造板生产中干花、湿花、污斑、裂缝等常见缺陷的在线检测,为家居建材高质量发展提供技术支撑。 展开更多
关键词 饰面人造板 表面缺陷 YOLO11-SDP 机器视觉 模型精度
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Laser-induced in situ reprogramming of magnetic shape memory composites for adaptive devices 认领 引用
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作者 Qianqian Zhang Rui Li +5 位作者 Yuan Tao Yiyu Chen Yanlei Hu Dong Wu Jiaru Chu Jiawen Li 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期767-779,共13页
Programmableeprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,complex... Programmableeprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,complex,untethered,and rapid deformations.However,current MRC-based devices primarily rely on soft matrices,which revert to their original shapes and cease functioning when external magnetic fields are removed.Moreover,their magnetization programming,deformations,and functioning need to alternate between encoding and actuation platforms,limiting the adaptability and efficiency.Here,we present a reprogrammable magnetic shape-memory composite(RM-SMC)integrating a shape-memory polymer(SMP)skeleton with phase-transition magnetic microcapsules.High-intensity laser melts microcapsules for magnetic realignment under programmed fields,while low-intensity laser softens SMP for structural reconfiguration without compromising integrity.This dual-laser strategy facilitates in situ magnetization programming,shape morphing,and function execution within a single material system.Our innovative approach enables unique applications,including omnidirectional multi-degree-of-freedom actuators that can activate light switches,solar trackers that optimize energy capture,and adaptive impellers that modulate fluid pumping.By eliminating platform alternation and enabling shape/function retention post-actuation,the RM-SMC platform overcomes critical limitations in conventional MRCs,establishing a paradigm for multifunctional devices requiring persistent configuration control and field-independent operation. 展开更多
关键词 magneto-responsive composites shape memory polymer in situ programming and deformation omnidirectional multi-degree of freedom actuator adjustable fluid pumping
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Genetic programming-driven damage state prediction for slender rectangular reinforced concrete structural walls 认领 引用
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作者 Nabajit Sarkar Kaustubh Dasgupta 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第2期431-447,共17页
Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral lo... Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral load resisting system.To effectively assess the potential vulnerability of structural systems across different levels of seismic demands,it is important to establish clear,quantitative thresholds for specific damage states,especially for the critical structural components within a building system.The currently available damage state definitions for RC structural walls are based on empirical limits and do not provide predictions for damage thresholds based on key design characteristics of a wall.To address this challenge,the present study employs genetic programming(GP),a form of artificial intelligence,to formulate accurate expressions for drift prediction for various damage states,using a dataset of 8,125 analytically studied specimens of RC structural walls.These expressions take into account the effects of various design characteristics,such as wall aspect ratio,axial load ratio,boundary element longitudinal reinforcement ratio,web longitudinal reinforcement ratio,and ratio of boundary element length to wall length in determining deformation limits.The developed prediction models have been evaluated for accuracy and validity using various statistical measures.In addition,the proposed equations have been compared with other available deformation limits in relevant design standards and the available literature to predict experimental results of RC wall components.The findings of these analyses indicate that the developed expressions provide significantly higher accuracy and superior predictions compared to existing empirical damage state definitions. 展开更多
关键词 RC structural wall damage state threshold genetic programming drift level parameterized damage state expression
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Insights into Student Perceptions of Error Feedback and Improvement Preferences in Online Programming Education 认领 引用
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作者 Li Zhang Tianze Wang +1 位作者 Jing Jiang Yufei Zhou 《计算机教育》 2026年第3期176-189,共14页
Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a ... Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a solid data foundation when attempting to improve the error feedback mechanisms.This paper makes a survey of 834 students across various programming courses and investigates student perceptions of error feedback mechanisms on online programming platforms.It explores the effectiveness of existing feedback,student satisfaction,and preferences for potential improvements,focusing on automatic error localization and program repair mechanisms.Results reveal a significant portion of students are dissatisfied with current feedback due to its limited informativeness.Students also express a clear demand for stronger feedback mechanisms,such as error localization and repair hints.Nevertheless,they prefer feedback that subtly guides them toward solutions,rather than providing direct and explicit answers,valuing the opportunity to enhance their debugging skills.The findings suggest a need for balanced,educational-focused feedback mechanisms that aid learning while promoting independent problem-solving. 展开更多
关键词 Error feedback Online programming education Program error localization Automated program repair
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Molecular Skeleton Programming of Premediators Opens a New Route to Sulfur Electrochemistry 认领 引用
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作者 Jinlong Wu Yangyang Wan 《Rare Metals》 SCIE EI CAS CSCD 2026年第7期15-18,共4页
Lithium-sulfur(Li-S)batteries are promising next-generation energy-storage systems because sulfur is abundant,inexpensive,and capable of delivering high theoretical capacity through a multi-electron redox reaction[1,2... Lithium-sulfur(Li-S)batteries are promising next-generation energy-storage systems because sulfur is abundant,inexpensive,and capable of delivering high theoretical capacity through a multi-electron redox reaction[1,2].Nevertheless,their practical development remains limited by the complexity of sulfur electrochemistry[3].During discharge,elemental sulfur is reduced through soluble lithium polysulfide intermediates before forming insoluble Li2S.These intermediates diffuse through the electrolyte,shuttle between electrodes,and trigger parasitic reactions,whereas the conversion from polysulfides to Li2S remains kinetically sluggish.Improving Li-S batteries therefore requires not only suppressing polysulfide migration but also actively regulating sulfur redox kinetics. 展开更多
关键词 premediators li s conversion energy storage systems lithium sulfur batteries sulfur abundance sulfur electrochemistry molecular skeleton programming polysulfide intermediates
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基于改进ResNet18和声纹SDP的干式变压器局放故障状态检测 认领 引用
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作者 刘东阳 赵海亮 +2 位作者 杨保成 李琦 张甲富 《计算机测量与控制》 2026年第3期34-40,49,共7页
为了提升干式变压器局放故障状态的准确率,对基于改进ResNet18和声纹SDP的干式变压器局放故障状态检测方法进行了研究;通过声纹传感器实时采集声纹信号,经过SDP处理(谱分解处理)生成声纹信号的时频图与空间谱图;创新性改进ResNet18模型... 为了提升干式变压器局放故障状态的准确率,对基于改进ResNet18和声纹SDP的干式变压器局放故障状态检测方法进行了研究;通过声纹传感器实时采集声纹信号,经过SDP处理(谱分解处理)生成声纹信号的时频图与空间谱图;创新性改进ResNet18模型,通过双通道融合模块解决通道维度与声纹信号特征不匹配问题;采用叠加的残差块自适应提取声纹信号的时域特征,改进ResNet18模型采用可变形卷积的自适应调整机制,更准确地捕捉关键频域特征;改进ResNet18模型在残差层引入可学习缩放因子,优化梯度传播路径,解决浅层特征梯度衰减问题;添加注意力机制生成获取声纹信号的综合特征,解决分类器与声纹特征不匹配问题;基于提取的时频图与空间谱图特征判定局放故障状态,实现干式变压器局放故障状态检测;以状态检测准确率作为对比指标,经实验测试,应用设计方法后,局放故障状态检测准确率提升至99.5%,提取的声纹信号时频图与实际声纹信号时频图趋于一致,局放故障状态判定结果与实际标注结果相同。 展开更多
关键词 声纹信号 干式变压器 SDP处理 状态检测 改进ResNet18模型 局放故障
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基于SDP的LTE-R网络零信任架构设计 认领 引用 被引量：1
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作者 李明洋 王炫哲 陶雨婷 《铁路计算机应用》 2026年第1期71-76,共6页
随着LTE-R(Long Term Evolution for Railways)网络的发展,传统安全架构难以应对日益复杂的安全威胁,特别是针对网络边界逐渐模糊、“非法用户”越权访问等问题。文章结合“永不信任,始终验证”的零信任理念,提出一种基于软件定义边界(S... 随着LTE-R(Long Term Evolution for Railways)网络的发展,传统安全架构难以应对日益复杂的安全威胁,特别是针对网络边界逐渐模糊、“非法用户”越权访问等问题。文章结合“永不信任,始终验证”的零信任理念,提出一种基于软件定义边界(SDP,Software Defined Perimeter)的LTE-R网络零信任架构。该架构融合单包授权(SPA,Single Packet Authorization)、持续认证机制和行为审计策略,实现服务端口隐身、最小权限控制及动态权限管理,有效防御横向渗透、中间人攻击和端口扫描,为保障LTE-R核心调度系统安全和铁路通信网络的零信任转型提供了可行路径。 展开更多
关键词 零信任 软件定义边界 LTE-R网络安全 单包授权 动态授权 铁路网络安全
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CHARACTERIZING THE RATE OF CONVERGENCE OF THE AUGMENTED LAGRANGE METHOD FOR NONLINEAR PROGRAMMING 认领 引用
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作者 Yule Zhang Jihong Zhang Jia Wu 《Journal of Computational Mathematics》 SCIE CSCD 2026年第6期1730-1748,共19页
The rate of convergence of the augmented Lagrangian method for solving nonlinear programming is studied under the Jacobian uniqueness conditions.It is demonstrated that,for a given multiplier vector(μ,λ),the rate of... The rate of convergence of the augmented Lagrangian method for solving nonlinear programming is studied under the Jacobian uniqueness conditions.It is demonstrated that,for a given multiplier vector(μ,λ),the rate of convergence of the augmented Lagrangian method is linear with respect to‖(μ,λ)-(μ*,λ*)‖and the ratio constant is proportional to 1/c when the ratio‖(μ,λ)-(μ*,λ*)‖/c is small enough,where c is the penalty parameter that exceeds a threshold c*>0 and(μ*,λ*)is the multiplier corresponding to a local minimum point.Importantly,the ratio constant of the Q-linear convergence of the sequence of multiplier vectors is estimated by the second-order derivative of the value function of the nonlinear optimization problem.This characterization gives an explicit expression for the rate constant of the Q-linear convergence of the sequence of multiplier vectors. 展开更多
关键词 Nonlinear Programming Jacobian Uniqueness Conditions Augmented Lagrangian Method Rate of Convergence Value Function
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From recursion to tabulation:Rethinking how we teach dynamic programming 认领 引用
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作者 Jiang Long 《计算机教育》 2026年第6期302-311,共10页
This paper proposes an intuitive,modular teaching framework for dynamic programming(DP).Beginning with the fundamental concept of recursion,the framework leverages dependency graphs to visually illustrate structural r... This paper proposes an intuitive,modular teaching framework for dynamic programming(DP).Beginning with the fundamental concept of recursion,the framework leverages dependency graphs to visually illustrate structural relationships among subproblems.This visual approach helps students intuitively grasp the underlying logic of tabulation,enabling them to independently determine correct tabulation orders.The plug-and-play design significantly reduces the barrier to learning,while strengthening students'analytical thinking and problem-solving skills.The effectiveness of this method is demonstrated through classroom application using classic examples such as the longest common subsequence(LCS),matrix chain multiplication(MCM),and rod cutting problems. 展开更多
关键词 Dynamic programming Plug-and-play framework Algorithm pedagogy Computer science education
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