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Convertibility in Multi-Goal and Multi-Objective Optimization
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作者 Sukriti Gangwar Chandra Sen 《American Journal of Operations Research》 2022年第1期11-17,共7页
Multi</span><span><span style="font-family:"">-</span></span><span><span style="font-family:"">goal and multi-objective optimizations are similar... Multi</span><span><span style="font-family:"">-</span></span><span><span style="font-family:"">goal and multi-objective optimizations are similar techniques to</span></span><span><span style="font-family:""> achieve <span>multiple conflicting goals/objectives simultaneously. There are several tech</span>niques <span>for solving multi-goal and multi-objective optimization problems. The</span> <span>present </span><span>study proposed the possibility of convertibility in solving multi-goal and mul</span>ti-objective optimization problems. 展开更多
关键词 multi-goal optimization Multi-Objective optimization Individual optimization
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Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm 被引量:13
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作者 Anish Pandey Dayal R.Parhi 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2017年第1期47-58,共12页
This article introduces a singleton type-1 fuzzy logic system(T1-SFLS) controller and Fuzzy-WDO hybrid for the autonomous mobile robot navigation and collision avoidance in an unknown static and dynamic environment. T... This article introduces a singleton type-1 fuzzy logic system(T1-SFLS) controller and Fuzzy-WDO hybrid for the autonomous mobile robot navigation and collision avoidance in an unknown static and dynamic environment. The WDO(Wind Driven Optimization) algorithm is used to optimize and tune the input/output membership function parameters of the fuzzy controller. The WDO algorithm is working based on the atmospheric motion of infinitesimal small air parcels navigates over an N-dimensional search domain. The performance of this proposed technique has compared through many computer simulations and real-time experiments by using Khepera-Ⅲ mobile robot. As compared to the T1-SFLS controller the Fuzzy-WDO algorithm is found good agreement for mobile robot navigation. 展开更多
关键词 Singleton type-1 fuzzy Navigation Wind driven optimization Membership function Atmospheric motion
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Whole-process design and experimental validation of landing gear lower drag stay with global/local linked driven optimization strategy 被引量:8
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作者 Chengwei FEI Haotian LIU +3 位作者 Zhengzheng ZHU Liqiang AN Shaolin LI Cheng LU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2021年第2期318-328,共11页
Landing gear lower drag stay is a key component which connects fuselage and landing gear and directly effects the safety and performance of aircraft takeoff and landing. To effectively design the lower drag stay and r... Landing gear lower drag stay is a key component which connects fuselage and landing gear and directly effects the safety and performance of aircraft takeoff and landing. To effectively design the lower drag stay and reduce the weight of landing gear, Global/local Linked Driven Optimization Strategy(GLDOS) was developed to conduct the overall process design of lower drag stay in respect of optimization thought. The whole-process optimization involves two stages of structural conceptual design and detailed design. In the structural conceptual design, the landing gear lower drag stay was globally topologically optimized by adopting multiple starting points algorithm. In the detailed design, the local size and shape of landing gear lower drag stay were globally optimized by the gradient optimization strategy. The GLDOS method adopts different optimization strategies for different optimization stages to acquire the optimum design effect. Through the experimental validation, the weight of the optimized lower dray stay with the developed GLDOS is reduced by 16.79% while keeping enough strength and stiffness, which satisfies the requirements of engineering design under the typical loading conditions. The proposed GLDOS is validated to be accurate and efficient in optimization scheme and design cycles. The efforts of this paper provide a whole-process optimization approach regarding different optimization technologies in different design phases, which is significant in reducing structural weight and enhance design tp wid 1 precision for complex structures in aircrafts. 展开更多
关键词 Global/local linked driven optimization Landing gear Lower drag stay optimization Whole-process design
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Wind Driven Butterfly Optimization Algorithm with Hybrid Mechanism Avoiding Natural Enemies for Global Optimization and PID Controller Design 被引量:1
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作者 Yang He Yongquan Zhou +2 位作者 Yuanfei Wei Qifang Luo Wu Deng 《Journal of Bionic Engineering》 SCIE EI CSCD 2023年第6期2935-2972,共38页
This paper presents a Butterfly Optimization Algorithm(BOA)with a wind-driven mechanism for avoiding natural enemies known as WDBOA.To further balance the basic BOA algorithm's exploration and exploitation capabil... This paper presents a Butterfly Optimization Algorithm(BOA)with a wind-driven mechanism for avoiding natural enemies known as WDBOA.To further balance the basic BOA algorithm's exploration and exploitation capabilities,the butterfly actions were divided into downwind and upwind states.The algorithm of exploration ability was improved with the wind,while the algorithm of exploitation ability was improved against the wind.Also,a mechanism of avoiding natural enemies based on Lévy flight was introduced for the purpose of enhancing its global searching ability.Aiming at improving the explorative performance at the initial stages and later stages,the fragrance generation method was modified.To evaluate the effectiveness of the suggested algorithm,a comparative study was done with six classical metaheuristic algorithms and three BOA variant optimization techniques on 18 benchmark functions.Further,the performance of the suggested technique in addressing some complicated problems in various dimensions was evaluated using CEC 2017 and CEC 2020.Finally,the WDBOA algorithm is used proportional-integral-derivative(PID)controller parameter optimization.Experimental results demonstrate that the WDBOA based PID controller has better control performance in comparison with other PID controllers tuned by the Genetic Algorithm(GA),Flower Pollination Algorithm(FPA),Cuckoo Search(CS)and BOA. 展开更多
关键词 Butterfly optimization Algorithm(BOA) Wind driven optimization(WDO) Benchmark functions Global optimization Proportional integral derivative(PID) METAHEURISTIC
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Multiscale topology optimization using feature-driven method 被引量:11
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作者 Zhao XU Weihong ZHANG +1 位作者 Ying ZHOU Jihong ZHU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2020年第2期621-633,共13页
This paper presents a multiscale design method for simultaneous topology optimization of both macrostructures and microstructures.Geometric features are extended as design primitives at both macro and micro scales and... This paper presents a multiscale design method for simultaneous topology optimization of both macrostructures and microstructures.Geometric features are extended as design primitives at both macro and micro scales and represented by Level Set Functions(LSFs).Parameters related to the locations,sizes,and orientations of macro and micro features are considered as design variables and optimized simultaneously.In the overlapping areas of different macro features,embedded microstructures are optimally figured out as the solution of the corresponding sub-optimization,problem.In this study,the eXtended Finite Element Method(XFEM)is implemented for structural and sensitivity analyses with respect to design variables.This method has the advantage of using a fixed grid independent of the topology optimization process.The homogenization procedure is applied to calculate the effective properties of considered microstructures in each macro feature.Numerical examples are presented to illustrate the effectiveness of the proposed method.Results depict that the multiscale design cannot obviously improve structural stiffness compared with a solid-material design under the linear elastic condition. 展开更多
关键词 Feature-driven METHOD Level SET function Multiscale design TOPOLOGY optimization XFEM
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Advancements in AI-Enabled Design and Process Optimization for Additive Manufacturing
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作者 Lingling Wu Shangqin Yuan 《Additive Manufacturing Frontiers》 2025年第2期1-2,共2页
Additive Manufacturing(AM)has significantly impacted the development of high-performance materials and structures,offering new possibilities for industries ranging from aerospace to biomedicine.This special issue feat... Additive Manufacturing(AM)has significantly impacted the development of high-performance materials and structures,offering new possibilities for industries ranging from aerospace to biomedicine.This special issue features pioneering research that integrates AI-driven methods with AM,enabling the design and fabrication of complex,optimized structures with enhanced properties. 展开更多
关键词 additive manufacturing industry applications additive manufacturing am design optimization AEROSPACE high performance materials AI driven methods complex structures
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Modelling to Generate Alternatives Using Simulation-Driven Optimization: An Application to Waste Management Facility Expansion Planning
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作者 Julian Scott Yeomans Raha Imanirad 《Applied Mathematics》 2012年第10期1236-1244,共9页
Public sector decision-making typically involves complex problems that are riddled with competing performance objecttives and possess design requirements which are difficult to capture at the time that supporting deci... Public sector decision-making typically involves complex problems that are riddled with competing performance objecttives and possess design requirements which are difficult to capture at the time that supporting decision models are constructed. Environmental policy formulation can prove additionally complicated because the various system components often contain considerable stochastic uncertainty and frequently numerous stakeholders exist that hold completely incompatible perspectives. Consequently, there are invariably unmodelled performance design issues, not apparent at the time of the problem formulation, which can greatly impact the acceptability of any proposed solutions. While a mathematically optimal solution might provide the best solution to a modelled problem, normally this will not be the best solution to the underlying real problem. Therefore, in public environmental policy formulation, it is generally preferable to be able to create several quantifiably good alternatives that provide very different approaches and perspectives to the problem. This study shows how a computationally efficient simulation-driven optimization approach that com- bines evolutionary optimization with simulation can be used to generate multiple policy alternatives that satisfy required system criteria and are maximally different in decision space. The efficacy of this modelling-to-generate-alternatives method is specifically demonstrated on a municipal solid waste management facility expansion case. 展开更多
关键词 Simulation-driven optimization Modelling-to-Generate-Alternatives Environmental DECISION Making under Uncertainty
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Optimal switching policy for performance enhancement of distributed parameter systems based on event-driven control 被引量:1
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作者 穆文英 崔宝同 +1 位作者 楼旭阳 李纹 《Chinese Physics B》 SCIE EI CAS CSCD 2014年第7期211-217,共7页
This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple... This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple actuators, only one actuator can receive the control signal and be activated over an unfixed time interval, and the other actuators keep dormant. After incorporating a state observer into the event generator, the event-driven control loop and the minimum inter-event time are ultimately bounded. Based on the event-driven state feedback control, the time intervals of unfixed length can be obtained. The optimal switching policy is based on finite horizon linear quadratic optimal control at the beginning of each time subinterval. A simulation example demonstrate the effectiveness of the proposed policy. 展开更多
关键词 distributed parameter systems optimal switching policy EVENT-driven
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Experimental Analysis and Optimization of Timing Belt Guide Plate Material on Engine Operational Friction Loss
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作者 XU Hongchang YUAN Zhiyuan PAN Haoxing 《Journal of Shanghai Jiaotong university(Science)》 EI 2019年第4期445-450,共6页
We focus on the friction loss measurement and reduction of the timing belt guide plates of a fourcylinder gasoline engine. To minimize the friction loss caused by the dynamic friction of the guide plates during timing... We focus on the friction loss measurement and reduction of the timing belt guide plates of a fourcylinder gasoline engine. To minimize the friction loss caused by the dynamic friction of the guide plates during timing belt motion and improve the efficiency of the internal combustion engine(ICE), we adopt four different plastic materials in fabricating the guide plates. With controlled engine boundary conditions and operational modes, an AVL electric dynamometer is used to measure the output of the engine. The results indicate that selecting polytetrafluoroethylene(PTFE) as the additive in fabricating the guide plates can effectively reduce the friction loss, so that the output torque and output power of the engine can be improved, thus reducing fuel consumptions. This work also has positive impact on the efficiency optimization of similar ICEs. 展开更多
关键词 friction loss optimization timing belt guide plate motor driven measurement polytetrafluoroethylene (PTFE) materials
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Optimization of the Gas Generator in Composite Power System with Tip-Jet Rotor
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作者 Jianxiang Tang Yifei Wu +1 位作者 Yun Wang Jinwu Wu 《Journal of Power and Energy Engineering》 2024年第3期60-74,共15页
The key and bottleneck of research on the tip-jet rotor compound helicopter lies in the power system. Computational Fluid Dynamics (CFD) was used to numerically simulate the gas generator and rotor inner passage of th... The key and bottleneck of research on the tip-jet rotor compound helicopter lies in the power system. Computational Fluid Dynamics (CFD) was used to numerically simulate the gas generator and rotor inner passage of the tip-jet rotor composite power system, studying the effects of intake mode, inner cavity structure, propellant components, and injection amount on the characteristics of the composite power system. The results show that when a single high-temperature exhaust gas enters, the gas generator outlet fluid is uneven and asymmetric;when two-way high-temperature exhaust gas enters, the outlet temperature of the gas generator with a tilted inlet is more uniform than that with a vertical inlet;adding an inner cavity improves the temperature and velocity distribution of the gas generator's internal flow field;increasing the energy of the propellant is beneficial for improving the available moment. 展开更多
关键词 Tip-Jet driven Rotor Composite Power System Gas Generator optimization Hydrogen Peroxide Aerodynamic Characteristics Numerical Simulation
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Optimization of Linear Filtering Model to Predict Post-LASIK Corneal Smoothing Based on Training Data Sets
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作者 Anatoly Fabrikant Guang-Ming Dai Dimitri Chernyak 《Applied Mathematics》 2013年第12期1694-1701,共8页
Laser vision correction is a rapidly growing field for correcting nearsightedness, farsightedness as well as astigmatism with dominating laser-assisted in situ keratomileusis (LASIK) procedures. While the technique wo... Laser vision correction is a rapidly growing field for correcting nearsightedness, farsightedness as well as astigmatism with dominating laser-assisted in situ keratomileusis (LASIK) procedures. While the technique works well for correcting spherocylindrical aberrations, it does not fully correct high order aberrations (HOAs), in particular spherical aberration (SA), due to unexpected induction of HOAs post-surgery. Corneal epithelial remodeling was proposed as one source to account for such HOA induction process. This work proposes a dual-scale linear filtering kernel to model such a process. Several retrospective clinical data sets were used as training data sets to construct the model, with a downhill simplex algorithm to optimize the two free parameters of the kernel. The performance of the optimized kernel was testedon new clinical data sets that were not previously used for the optimization. 展开更多
关键词 Simulation-driven optimization DOWNHILL SIMPLEX Method CORNEAL SMOOTHING LASIK
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基于磁通切换电机的船用轮缘推进器设计
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作者 马昭胜 杨荣峰 +2 位作者 陈垚 廖卫强 俞万能 《重庆交通大学学报(自然科学版)》 北大核心 2026年第1期113-119,128,共8页
针对船舶集成轮缘推进器气隙容易进入砂砾,拆装困难维护不便问题,提出了一种基于磁通切换电机的易拆装集成螺旋桨结构。首先分析了磁通切换电机的工作机理,讨论了磁通切换电机应用于轮缘推进器所面临的问题,提出了通过增加电机极数以减... 针对船舶集成轮缘推进器气隙容易进入砂砾,拆装困难维护不便问题,提出了一种基于磁通切换电机的易拆装集成螺旋桨结构。首先分析了磁通切换电机的工作机理,讨论了磁通切换电机应用于轮缘推进器所面临的问题,提出了通过增加电机极数以减小转子齿高影响的推进电机设计思路。其次详细分析了集成推进器的结构设计问题,通过环形绕组、同心环设计、侧面开槽等设计,提出了一种易拆装的集成螺旋桨结构。最后通过Maxwell仿真验证了推进电机的工作性能,特别比较了3种绕组结构下电磁特性差异,论证了该结构螺旋桨的有效性。 展开更多
关键词 船舶工程 磁通切换电机 轮缘推进器 易拆卸结构 电机参数优化
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互联网依托式自我管理导向型5A护理模式对高血压患者的影响
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作者 周家琪 赵小娟 +2 位作者 马会民 吴俊平 寇小娜 《齐鲁护理杂志》 2026年第1期39-43,共5页
目的:探讨互联网依托式自我管理导向型5A护理模式对高血压患者心理状态、健康行为及睡眠质量的影响。方法:选取2022年11月—2023年5月收治的86例高血压患者,随机分为对照组(n=43,常规护理干预)和观察组(n=43,常规护理干预+互联网依托式... 目的:探讨互联网依托式自我管理导向型5A护理模式对高血压患者心理状态、健康行为及睡眠质量的影响。方法:选取2022年11月—2023年5月收治的86例高血压患者,随机分为对照组(n=43,常规护理干预)和观察组(n=43,常规护理干预+互联网依托式自我管理导向型5A护理模式);比较两组干预前后的血压水平、心理状态[采用汉密顿焦虑量表(HAMA)及汉密顿抑郁量表(HAMD)]、自我管理水平[采用慢性病自我管理量表(CDSMS)]、睡眠质量[采用匹兹堡睡眠质量指数(PSQI)]、生活质量[采用生活质量综合评定问卷-74(GQOL-74)],健康行为优良率。结果:干预后,观察组血压、健康行为优良率优于对照组(P<0.05);干预后,两组HAMA、HAMD、PSQI评分低于干预前(P<0.05),且观察组低于对照组(P<0.05);干预后,两组CDSMS、GQOL-74评分高于干预前(P<0.05),且观察组高于对照组(P<0.05)。结论:互联网依托式自我管理导向型5A护理模式可改善高血压患者血压水平,提升其自我管理水平、健康行为,调节不良心理状态,改善患者睡眠质量和生活质量。 展开更多
关键词 高血压 5A护理 自我管理 心理状态 睡眠质量 生活质量
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智能时代“模式识别与机器学习”课程教学改革与实践探索
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作者 孔庆群 张奇 +1 位作者 蒋磊 杨克虎 《科技风》 2026年第2期73-76,共4页
“模式识别与机器学习”作为人工智能专业的核心课程之一,在当前教学实践中面临课程内容更新滞后、实践环节不足及考核方式单一等问题,难以有效适配智能时代下人工智能领域的人才培养需求。针对上述问题,教师通过三方面推进教学改革:一... “模式识别与机器学习”作为人工智能专业的核心课程之一,在当前教学实践中面临课程内容更新滞后、实践环节不足及考核方式单一等问题,难以有效适配智能时代下人工智能领域的人才培养需求。针对上述问题,教师通过三方面推进教学改革:一是基于技术演进的教学体系优化,理清传统方法与前沿技术的演进逻辑;二是设计层次化的实践教学,培养学生从动手实践到项目开发的能力;三是引入动态数据驱动的智能评估系统,实现对学生综合素养的全面评价。通过上述教学改革方案的协同实施,不仅可推动课程教学质量与效率的显著提升,还能更好地契合智能时代对人工智能专业人才的培养需求。 展开更多
关键词 技术演进 教学体系优化 层次化实践教学 数据驱动 智能评估系统
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绳索驱动3D打印机性能优化的实验研究
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作者 陈枭龙 汤奥斐 +1 位作者 张振强 弓泽晨 《制造业自动化》 2026年第1期19-26,共8页
为提升绳索驱动3D打印机的成形精度和动态稳定性,设计并验证了一款绳索驱动3D打印机样机。通过对机构的运动学、静力学及动力学进行理论分析,搭建实验平台验证其性能。轨迹跟踪实验和多层结构打印实验的实验结果显示,末端执行器轨迹跟... 为提升绳索驱动3D打印机的成形精度和动态稳定性,设计并验证了一款绳索驱动3D打印机样机。通过对机构的运动学、静力学及动力学进行理论分析,搭建实验平台验证其性能。轨迹跟踪实验和多层结构打印实验的实验结果显示,末端执行器轨迹跟踪误差X、Y双向均控制在5%以内,定位精度达亚毫米级别,且系统运行平稳。确定了最优的喷嘴移动速度为16 mm/s,在该速度下打印线条中线偏移均方根误差最小,兼顾了成形精度与动态稳定性。为后续控制策略改进、误差补偿机制开发以及CDPR 3D打印系统的鲁棒控制设计提供了数据基础和理论依据。 展开更多
关键词 绳索驱动并联机器人 3D打印 样机设计 轨迹跟踪 工艺参数优化
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660 MW火电机组全工况下凝结水节流动态模型的研究
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作者 卫龙飞 陈伟威 +1 位作者 郭志鹏 韩晓明 《现代电子技术》 北大核心 2026年第2期87-94,共8页
为解决火电机组中凝结水节流模型难以兼顾准确性、快速性和泛化性的问题,提出一种结合机理建模和数据驱动建模的混合建模方法,深入分析了凝结水节流对除氧器内部压力的动态影响,并引入参数辨识技术。首先,根据凝结水节流系统的动态特性... 为解决火电机组中凝结水节流模型难以兼顾准确性、快速性和泛化性的问题,提出一种结合机理建模和数据驱动建模的混合建模方法,深入分析了凝结水节流对除氧器内部压力的动态影响,并引入参数辨识技术。首先,根据凝结水节流系统的动态特性和静态特性,建立准确性高的复杂机理模型;其次,在保证模型精准度的前提下,借助数据驱动方法找到复杂模块中某些复杂变量之间的关系,降低模型的复杂度并提高模型的快速性;最终,采用粒子群优化(PSO)算法,根据所提出的关于负荷、除氧器容积和压力偏差的适应度函数,对不同工况下模型中未知参数进行辨识,提高模型的泛化性。仿真结果表明,在260 MW和450 MW工况下,所提模型的均方根误差(RMSE)、Pearson相关系数等评价指标均有较好表现。证明该模型具有较高的准确性、快速性和泛化性。 展开更多
关键词 火电机组 凝结水节流系统 动态模型 机理建模 数据驱动建模 粒子群优化算法 适应度函数
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水利工程中的智能化管理与数据驱动决策研究
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作者 陈波 潘婷婷 谢正浩 《科学技术创新》 2026年第1期154-157,共4页
水利工程智能化管理通过集成传感器网络及数据融合技术与机器学习算法,文章通过传感器网络及数据融合技术与机器学习构建了实时监测与预测分析及优化调度的智能决策系统,利用多层感知器神经网络建立水位预测模型,预测精度达到95.8%,数... 水利工程智能化管理通过集成传感器网络及数据融合技术与机器学习算法,文章通过传感器网络及数据融合技术与机器学习构建了实时监测与预测分析及优化调度的智能决策系统,利用多层感知器神经网络建立水位预测模型,预测精度达到95.8%,数据驱动决策框架使用粒子群优化算法进行多目标调度,发电效益提升27.3%,生态流量保障率98.5%。实践表明,智能化管理系统在极端洪水下应急响应时间减少52.1%,调度精度提高34.6%,年均节约成本2 680万元,为水利工程现代化运营提供了技术支持。 展开更多
关键词 智能化管理 数据驱动决策 机器学习 水利工程 优化调度
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基于目的导向的OEC护理在高血压脑出血患者中的应用效果观察
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作者 王平 王彦彬 史晓校 《齐鲁护理杂志》 2026年第1期94-97,共4页
目的:探讨基于目的导向的全方位优化(OEC)护理在高血压脑出血(HICH)患者中的应用方法及效果。方法:选择2020年8月—2023年8月收治的94例HICH患者为研究对象,随机分为对照组和观察组各47例,对照组采用常规护理,观察组实施基于目的导向的... 目的:探讨基于目的导向的全方位优化(OEC)护理在高血压脑出血(HICH)患者中的应用方法及效果。方法:选择2020年8月—2023年8月收治的94例HICH患者为研究对象,随机分为对照组和观察组各47例,对照组采用常规护理,观察组实施基于目的导向的OEC护理,两组均干预至出院;比较两组住院时间,神经功能[采用美国国立卫生研究院卒中量表(NIHSS)]、肢体运动功能[采用Fugl-Meyer评估量表(FMA)]、日常生活活动能力恢复情况[采用日常生活活动能力量表(ADL)]、心理状况[采用状态焦虑量表(SAI)和病人健康抑郁问卷(pHQ-9)]及并发症发生情况。结果:观察组住院时间较对照组更短(P<0.05);干预后,两组NIHSS、SAI、pHQ-9评分低于干预前(P<0.05),且观察组低于对照组(P<0.05);干预后,两组FMA、ADL评分高于干预前(P<0.05),且观察组高于对照组(P<0.05);观察组并发症发生率低于对照组(P<0.05)。结论:基于目的导向的OEC护理可促进NIHSS患者神经功能、肢体运动功能及日常生活活动能力恢复,改善不良心理状况,减少并发症发生,缩短患者的住院时间。 展开更多
关键词 高血压 脑出血 全方位优化护理 目的导向 神经功能 并发症
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A Review on Cable-driven Parallel Robots 被引量:31
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作者 Sen Qian Bin Zi +1 位作者 Wei-Wei Shang Qing-Song Xu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2018年第4期37-47,共11页
Cable-driven parallel robots(CDPRs) are categorized as a type of parallel manipulators. In CDPRs, flexible cables are used to take the place of rigid links. The particular property of cables provides CDPRs several adv... Cable-driven parallel robots(CDPRs) are categorized as a type of parallel manipulators. In CDPRs, flexible cables are used to take the place of rigid links. The particular property of cables provides CDPRs several advantages, including larger workspaces, higher payload-to-weight ratio and lower manufacturing costs rather than rigid-link robots. In this paper, the history of the development of CDPRs is introduced and several successful latest application cases of CDPRs are presented. The theory development of CDPRs is introduced focusing on design, performance analysis and control theory. Research on CDPRs gains wide attention and is highly motivated by the modern engineering demand for large load capacity and workspace. A number of exciting advances in CDPRs are summarized in this paper since it is proposed in the 1980 s, which points to a fruitful future both in theory and application. In order to meet the increasing requirements of robot in different areas, future steps foresee more in-depth research and extension applications of CDPRs including intelligent control, composite materials, integrated and reconfigurable design. 展开更多
关键词 Cable-driven parallel robots Design and modelling Control and planning Performance and optimization
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Data Driven Vibration Control:A Review 被引量:1
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作者 Weiyi Yang Shuai Li Xin Luo 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第9期1898-1917,共20页
With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests... With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests from both the industrial and academic communities.Input shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC methods.It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration separately.Based on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the following efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Discussing the engineering applications and future trends of DDVC.By doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives,aiming at promoting future research regarding this emerging and vital issue. 展开更多
关键词 Data driven vibration control(DDVC) data science designing method feedforward control industrial robot input shaping optimizing method residual vibration
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