期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到799篇文章
< 1 2 … 40 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing 认领 引用 被引量：3
1
作者 Peiwen Liu Hui Jin +5 位作者 Yan Chen Derong Wang Haohui Yan Mingzhao Wu Fang Zhao Weiping Zhu 《Chinese Chemical Letters》 SCIE CAS CSCD 2024年第3期87-95,共9页
The pharmaceutical industry is now paying increased attention to continuous manufacturing.While the revolution to continuous and automated manufacturing is deepening in most of the top pharma companies in the world,th... The pharmaceutical industry is now paying increased attention to continuous manufacturing.While the revolution to continuous and automated manufacturing is deepening in most of the top pharma companies in the world,the advancement of automated pharmaceutical continuous manufacturing in China is relatively slow due to some key challenges including the lack of knowledge on the related technologies and shortage of qualified personnels.In this review,emphasis is given to two of the crucial technologies in automated pharmaceutical continuous manufacturing,i.e.,process analytical technology(PAT)and self-optimizing algorithm.Research work published in recent 5 years employing advanced PAT tools and self-optimization algorithms is introduced,which represents the great progress that has been made in automated pharmaceutical continuous manufacturing. 展开更多
关键词 Pharmaceutical continuous manufacturing Automation Process analytical technology Self-optimization algorithm
暂未订购 下载PDF
TWO TYPES OF NEW ALGORITHMS FOR FINDING EXPLICIT ANALYTICAL SOLUTIONS OF NONLINEAR DIFFERENTIAL EQUATIONS 认领 引用
2
作者 张鸿庆 闫振亚 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2000年第12期1423-1431,共9页
The idea of AC = BD was applied to solve the nonlinear differential equations. Suppose that Au = 0 is a given equation to he solved and Dv = 0 is an equation to be easily solved. If the transformation u = Cv is obtain... The idea of AC = BD was applied to solve the nonlinear differential equations. Suppose that Au = 0 is a given equation to he solved and Dv = 0 is an equation to be easily solved. If the transformation u = Cv is obtained so that v satisfies Dv = 0, then the solutions for Au = 0 can be found. In order to illustrate this approach, several examples about the transformation C are given. 展开更多
关键词 nonlinear differential equations transformation algorithm analytical solution
暂未订购 下载PDF
Optimizing IoT-Driven Smart Cities with the Dynamic Leader Sibha Algorithm:A Novel Approach to Feature Selection and Hyperparameter Tuning 认领 引用
3
作者 Safaa Zaman Marwa M.Eid +2 位作者 Ebrahim A.Mattar Doaa Sami Khafaga El-Sayed M.El-Kenawy 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期899-958,共60页
The rapid growth of Internet of Things(IoT)technologies has transformed modern urban environments into complex smart cities,generating vast amounts of high-dimensional,heterogeneous data.Effectively analyzing this dat... The rapid growth of Internet of Things(IoT)technologies has transformed modern urban environments into complex smart cities,generating vast amounts of high-dimensional,heterogeneous data.Effectively analyzing this data is crucial for optimizing urban infrastructure,enhancing quality of life,and supporting sustainable development.However,smart city data presents significant challenges,including non-linear dependencies,noisy signals,and high dimensionality.To address these challenges,this study proposes the Dynamic Leader Sibha Algorithm(DLSA),a novel metaheuristic optimization technique inspired by the structured counting dynamics of the Sibha.The DLSA was applied to the Smart Cities Index dataset,leveraging copula functions to model complex,multivariate dependencies and enhance predictive accuracy.The baseline machine learning(ML)evaluation revealed that the ExtraTreesRegressor achieved the lowest mean squared error(MSE)of 0.007462409,highlighting its superior initial performance.Following feature selection using the binary Dynamic Leader Sibha Algorithm(bSiba),the average error was reduced to 0.373245769,significantly improving data quality and model efficiency.Subsequent ML evaluation after feature selection further reduced the MSE of the ExtraTreesRegressor to 0.00151927,reflecting the effectiveness of dimensionality reduction.Finally,hyperparameter optimization using the DLSA achieved a remarkable MSE of 1.32249×10−6 with the Siba+ExtraTreesRegressor combination,demonstrating the algorithm’s powerful optimization capabilities.These findings indicate that the DLSA framework can significantly enhance the predictive performance of IoT-driven smart city models,offering valuable insights for urban planners,policymakers,and technology developers seeking to build smarter,more resilient cities. 展开更多
关键词 Smart cities analytics Internet of Things(IoT) Dynamic Leader Sibha Algorithm(DLSA) feature selection and optimization high-dimensional data analysis
暂未订购 下载PDF
Dosimetric Comparison of Integral Radiation Dose: Anisotropic Analytical Algorithm and Acuros XB in Breast Radiotherapy 认领 引用 被引量：5
4
作者 Aydin Cakir Zuleyha Akgun 《International Journal of Medical Physics, Clinical Engineering and Radiation Oncology》 2019年第2期57-67,共11页
The impact of the difference between Anisotropic Analytical Algorithm (AAA) and Acuros XB (AXB) in breast radiotherapy is not clearly due to different uses and further research is required to explain this effect. The ... The impact of the difference between Anisotropic Analytical Algorithm (AAA) and Acuros XB (AXB) in breast radiotherapy is not clearly due to different uses and further research is required to explain this effect. The aim of this study is to investigate the contribution of calculation differences between AAA and AXB to the integral radiation dose (ID) on critical organs. Seven field intensity modulated radiotherapy (IMRT) plans were generated using with AAA and AXB algorithms for twenty patients with early stage left breast cancer after breast conserving surgery. Volumetric and dosimetric differences, as well as, the Dmean, V5, V20 doses of the left and right-sided lung, the Dmean, V10, V20, V30 doses of heart and the Dmean, V5, V10 doses of the contralateral breast were investigated. The mean dose (Dmean), V5, V20 doses of the left-sided lung, the Dmean, V5, V10 doses of right-sided lung, the Dmean, V10, V20, V30 doses of heart and the Dmean, V5, V10 doses of the contralateral breast were found to be significantly higher with AAA. In this research integral dose was also higher in the AAA recalculated plan and the AXB plan with the average dose as follows left lung 2%, heart 2%, contralateral breast 8%, contralateral lung 4% respectively. Our study revealed that the calculation differences between Acuros XB (AXB) and Anisotropic Analytical Algorithm (AAA) in breast radiotherapy caused serious differences on the stored integral doses on critical organs. In addition, AXB plans showed significantly dosimetric improvements in multiple dosimetric parameters. 展开更多
关键词 Anisotropic Analytical Algorithm Acuros XB Breast Radiotherapy Integral Radiation Dose
暂未订购 下载PDF
A Review of the Evolution of Multi-Objective Evolutionary Algorithms 认领 引用 被引量：1
5
作者 Thomas Hanne Mohammad Jahani Moghaddam 《Computers, Materials & Continua》 SCIE EI 2025年第12期4203-4236,共34页
Multi-Objective Evolutionary Algorithms(MOEAs)have significantly advanced the domain of MultiObjective Optimization(MOO),facilitating solutions for complex problems with multiple conflicting objectives.This review exp... Multi-Objective Evolutionary Algorithms(MOEAs)have significantly advanced the domain of MultiObjective Optimization(MOO),facilitating solutions for complex problems with multiple conflicting objectives.This review explores the historical development of MOEAs,beginning with foundational concepts in multi-objective optimization,basic types of MOEAs,and the evolution of Pareto-based selection and niching methods.Further advancements,including decom-position-based approaches and hybrid algorithms,are discussed.Applications are analyzed in established domains such as engineering and economics,as well as in emerging fields like advanced analytics and machine learning.The significance of MOEAs in addressing real-world problems is emphasized,highlighting their role in facilitating informed decision-making.Finally,the development trajectory of MOEAs is compared with evolutionary processes,offering insights into their progress and future potential. 展开更多
关键词 Multi-objective optimization evolutionary algorithms Pareto-based selection decomposition-based methods advanced analytics
暂未订购 下载PDF
A Novel Multi-Modal Neurosymbolic Reasoning Intelligent Algorithm for BLMP Equation 认领 引用 被引量：1
6
作者 Hanwen Zhang Runfa Zhang Qirang Liu 《Chinese Physics Letters》 SCIE EI CAS CSCD 2025年第10期13-17,共5页
The(3+1)-dimensional Boiti-Leon-Manna-Pempinelli(BLMP)equation serves as a crucial nonlinear evolution equation in mathematical physics,capable of characterizing complex nonlinear dynamic phenomena in three-dimensiona... The(3+1)-dimensional Boiti-Leon-Manna-Pempinelli(BLMP)equation serves as a crucial nonlinear evolution equation in mathematical physics,capable of characterizing complex nonlinear dynamic phenomena in three-dimensional space and one-dimensional time.With broad applications spanning fluid dynamics,shallow water waves,plasma physics,and condensed matter physics,the investigation of its solutions holds significant importance.Traditional analytical methods face limitations due to their dependence on bilinear forms.To overcome this constraint,this letter proposes a novel multi-modal neurosymbolic reasoning intelligent algorithm(MMNRIA)that achieves 100%accurate solutions for nonlinear partial differential equations without requiring bilinear transformations.By synergistically integrating neural networks with symbolic computation,this approach establishes a new paradigm for universal analytical solutions of nonlinear partial differential equations.As a practical demonstration,we successfully derive several exact analytical solutions for the(3+1)-dimensional BLMP equation using MMNRIA.These solutions provide a powerful theoretical framework for studying intricate wave phenomena governed by nonlinearity and dispersion effects in three-dimensional physical space. 展开更多
关键词 intelligent algorithm dimensional Boiti Leon Manna Pempinelli equation fluid dynamicsshallow water wavesplasma physicsand nonlinear evolution equation condensed matter physicsthe neurosymbolic reasoning characterizing complex nonlinear dynamic phenomena analytical methods
暂未订购 下载PDF
SUBSTRUCTURE COMPUTATIONAL ALGORITHM FOR EXACT ANALYTIC METHOD 认领 引用
7
作者 纪振义 叶开沅 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 1990年第10期913-919,共7页
In[1], the exact analytic method for the solution of differential equation with variable coefficients was suggested and an analytic expression of solution was given by initial parameter algorithm. But to some problems... In[1], the exact analytic method for the solution of differential equation with variable coefficients was suggested and an analytic expression of solution was given by initial parameter algorithm. But to some problems such as the bending, free vibration and buckling of nonhomogeneous long cylinders, it is difficult to obtain their solutions by the initial parameter algorithm on computer. In this paper, the substructure computational algorithm for the exact analytic method is presented through the bending of non-homogeneous long cylindrical shell. This substructure algorithm can he applied to solve the problems which can not he calculated by the initial parameter algorithm on computer. Finally, the problems can he reduced to solving a low order system of algehraic equations like the initial parameter algorithm Numerical examples are given and compared with the initial para-algorithm at the end of the paper, which confirms the correctness of the substructure computational algorithm. 展开更多
关键词 substructure computational algorithm exact analytic method long cylindrical shell
暂未订购 下载PDF
IoT data analytic algorithms on edge-cloud infrastructure:A review 认领 引用 被引量：2
8
作者 Abel E.Edje M.S.Abd Latiff Weng Howe Chan 《Digital Communications and Networks》 SCIE CSCD 2023年第6期1486-1515,共30页
The adoption of Internet of Things(IoT)sensing devices is growing rapidly due to their ability to provide realtime services.However,it is constrained by limited data storage and processing power.It offloads its massiv... The adoption of Internet of Things(IoT)sensing devices is growing rapidly due to their ability to provide realtime services.However,it is constrained by limited data storage and processing power.It offloads its massive data stream to edge devices and the cloud for adequate storage and processing.This further leads to the challenges of data outliers,data redundancies,and cloud resource load balancing that would affect the execution and outcome of data streams.This paper presents a review of existing analytics algorithms deployed on IoT-enabled edge cloud infrastructure that resolved the challenges of data outliers,data redundancies,and cloud resource load balancing.The review highlights the problems solved,the results,the weaknesses of the existing algorithms,and the physical and virtual cloud storage servers for resource load balancing.In addition,it discusses the adoption of network protocols that govern the interaction between the three-layer architecture of IoT sensing devices enabled edge cloud and its prevailing challenges.A total of 72 algorithms covering the categories of classification,regression,clustering,deep learning,and optimization have been reviewed.The classification approach has been widely adopted to solve the problem of redundant data,while clustering and optimization approaches are more used for outlier detection and cloud resource allocation. 展开更多
关键词 Internet of things Cloud platform Edge Analytic algorithms Processes Network communication protocols
暂未订购 下载PDF
A Genetic Fuzzy Analytical Hierarchy Process Based Projection Pursuit Method for Selecting Schemes of Water Transportation Projects 认领 引用 被引量：1
9
作者 JIN Juliang LI Lei +1 位作者 WANG Wensheng ZHANG Ming 《Journal of Ocean University of China》 CAS 2006年第4期289-294,共6页
The optimal selection of schemes of water transportation projects is a process of choosing a relatively optimal scheme from a number of schemes of water transportation programming and management projects, which is of ... The optimal selection of schemes of water transportation projects is a process of choosing a relatively optimal scheme from a number of schemes of water transportation programming and management projects, which is of importance in both theory and practice in water resource systems engineering. In order to achieve consistency and eliminate the dimensions of fuzzy qualitative and fuzzy quantitative evaluation indexes, to determine the weights of the indexes objectively, and to increase the differences among the comprehensive evaluation index values of water transportation project schemes, a projection pursuit method, named FPRM-PP for short, was developed in this work for selecting the optimal water transportation project scheme based on the fuzzy preference relation matrix. The research results show that FPRM-PP is intuitive and practical, the correction range of the fuzzy rained is both stable and accurate; preference relation matrix A it produces is relatively small, and the result obtherefore FPRM-PP can be widely used in the optimal selection of different multi-factor decision-making schemes. 展开更多
关键词 water transportation project optimal selection of schemes fuzzy analytical hierarchy process projection pursuit genetic algorithm
暂未订购 下载PDF
Advanced Predictive Analytics for Green Energy Systems: An IPSS System Perspective 认领 引用 被引量：1
10
作者 Lei Shen Chutong Zhang +4 位作者 Yuwei Ge Shanyun Gu Qiang Gao Wei Li Jie Ji 《Energy Engineering》 EI 2025年第4期1581-1602,共22页
The rapid development and increased installed capacity of new energy sources such as wind and solar power pose new challenges for power grid fault diagnosis.This paper presents an innovative framework,the Intelligent ... The rapid development and increased installed capacity of new energy sources such as wind and solar power pose new challenges for power grid fault diagnosis.This paper presents an innovative framework,the Intelligent Power Stability and Scheduling(IPSS)System,which is designed to enhance the safety,stability,and economic efficiency of power systems,particularly those integrated with green energy sources.The IPSS System is distinguished by its integration of a CNN-Transformer predictive model,which leverages the strengths of Convolutional Neural Networks(CNN)for local feature extraction and Transformer architecture for global dependency modeling,offering significant potential in power safety diagnostics.TheIPSS System optimizes the economic and stability objectives of the power grid through an improved Zebra Algorithm,which aims tominimize operational costs and grid instability.Theperformance of the predictive model is comprehensively evaluated using key metrics such as Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and Coefficient of Determination(R2).Experimental results demonstrate the superiority of the CNN-Transformer model,with the lowest RMSE and MAE values of 0.0063 and 0.00421,respectively,on the training set,and an R2 value approaching 1,at 0.99635,indicating minimal prediction error and strong data interpretability.On the test set,the model maintains its excellence with the lowest RMSE and MAE values of 0.009 and 0.00673,respectively,and an R2 value of 0.97233.The IPSS System outperforms other models in terms of prediction accuracy and explanatory power and validates its effectiveness in economic and stability analysis through comparative studies with other optimization algorithms.The system’s efficacy is further supported by experimental results,highlighting the proposed scheme’s capability to reduce operational costs and enhance system stability,making it a valuable contribution to the field of green energy systems. 展开更多
关键词 Advanced predictive analytics green energy systems IPSS system CNN-transformer predictivemodel economic and stability optimization improved zebra algorithm
暂未订购 下载PDF
An Improved War Strategy Optimization Algorithm for Big Data Analytics 认领 引用
11
作者 Longjie Han Hui Xu Yain Hu 《国际计算机前沿大会会议论文集》 2023年第1期37-48,共12页
Big data analysis is confronted with the obstacle of high dimensionality in data samples.To address this issue,researchers have devised a multitude of intel-ligent optimization algorithms aimed at enhancing big data a... Big data analysis is confronted with the obstacle of high dimensionality in data samples.To address this issue,researchers have devised a multitude of intel-ligent optimization algorithms aimed at enhancing big data analysis techniques.Among these algorithms is the War Strategy Optimization(WSO)proposed in 2022,which distinguishes itself from other intelligence algorithms through its potent optimization capabilities.Nevertheless,the WSO exhibits limitations in its global search capacity and is susceptible to becoming trapped in local optima when dealing with high-dimensional problems.To surmount these shortcomings and improve the performance of WSO in handling the challenges posed by high dimensionality in big data,this paper introduces an enhanced version of the WSO based on the carnivorous plant algorithm(CPA)and shared niche.The grouping concept and update strategy of CPA are incorporated into WSO,and its update strategy is modified through the introduction of a shared small habitat approach combined with an elite strategy to create a novel improved algorithm.Simula-tion experiments were conducted to compare this new War Strategy Optimization(CSWSO)with WSO,RKWSO,I-GWO,NCHHO and FDB-SDO using 16 test functions.Experimental results demonstrate that the proposed enhanced algorithm exhibits superior optimization accuracy and stability,providing a novel approach to addressing the challenges posed by high dimensionality in big data. 展开更多
关键词 big data analytics war strategy optimization carnivorous plant algorithm shared niche
A Novel Analytical Model of Brain Tumor Based on Swarm Robotics 认领 引用
12
作者 Mohamed Abbas 《Proceedings of Anticancer Research》 2022年第4期11-20,共10页
A tumor is referred to as“intracranial hard neoplasm”if it grows near the brain or central spinal vessel(neoplasm).In certain cases,it is possible that the responsible cells are neurons situated deep inside the brai... A tumor is referred to as“intracranial hard neoplasm”if it grows near the brain or central spinal vessel(neoplasm).In certain cases,it is possible that the responsible cells are neurons situated deep inside the brain’s structure.This article discusses a strategy for halting the progression of brain tumor.A precise and accurate analytical model of brain tumors is the foundation of this strategy.It is based on an algorithm known as kill chain interior point(KCIP),which is the result of a merger of kill chain and interior point algorithms,as well as a precise and accurate analytical model of brain tumors.The inability to obtain a clear picture of tumor cell activity is the biggest challenge in this endeavor.Based on the motion of swarm robots,which are considered a subset of artificial intelligence,this article proposes a new notion of this kind of behavior,which may be used in various situations.The KCIP algorithm that follows is used in the analytical model to limit the development of certain cell types.According to the findings,it seems that different KCIP speed ratios are beneficial in preventing the development of brain tumors.It is hoped that this study will help researchers better understand the behavior of brain tumors,so as to develop a new drug that is effective in eliminating the tumor cells. 展开更多
关键词 Swarm robots Brain tumor Analytical computation Kill chain Interior point algorithm
暂未订购 下载PDF
冗余机械臂逆运动学求解方法综述 认领 引用 被引量：2
13
作者 张泽玺 熊根良 +1 位作者 高延峰 张华 《机械设计与制造》 北大核心 2026年第1期222-230,238,共9页
冗余机械臂在三维空间中执行任务时,由于其具有多余的自由度,因此与一般非冗余机械臂相比,其在避障、避奇异、避免关节限位和优化关节力矩方面有着明显的优势。同样因为冗余,其逆向运动学求解是一个难点问题。目前关于冗余机械臂逆向运... 冗余机械臂在三维空间中执行任务时,由于其具有多余的自由度,因此与一般非冗余机械臂相比,其在避障、避奇异、避免关节限位和优化关节力矩方面有着明显的优势。同样因为冗余,其逆向运动学求解是一个难点问题。目前关于冗余机械臂逆向运动学求解问题还未形成一套完整的框架归类,因此有必要对其进行整理归纳与总结分析。针对串联结构的冗余机械臂的逆运动学求解问题,依次从解析法、数值法和人工智能方法三个方面进行论述,归纳这些方法的优势与不足,并对冗余机械臂逆向运动学求解的存在问题和发展前景进行总结与展望。 展开更多
关键词 冗余机械臂 逆运动学 解析法 数值法 人工智能方法
暂未订购 下载PDF
鱼糕冻干配方优化及品质、货架期分析 认领 引用 被引量：1
14
作者 刘海燕 高文喻 +2 位作者 李雅欣 艾娜 雷生姣 《食品工业科技》 EI CAS 北大核心 2026年第4期292-302,共11页
针对传统鱼糕货架期短、运输条件苛刻、食用方法单一等问题,本研究通过配方优化与真空冷冻干燥技术开发新型鱼糕产品,旨在延长其保质期、提升营养均衡性并拓展即食化、多场景应用潜力,同时为水产制品的工业化加工提供工艺参考。以鲢鱼... 针对传统鱼糕货架期短、运输条件苛刻、食用方法单一等问题,本研究通过配方优化与真空冷冻干燥技术开发新型鱼糕产品,旨在延长其保质期、提升营养均衡性并拓展即食化、多场景应用潜力,同时为水产制品的工业化加工提供工艺参考。以鲢鱼为主要原料,基于层次分析-熵权法构建综合评分模型,选择猪肥肉、鸡肉、玉米淀粉和蛋清添加量进行单因素实验,并在单因素实验基础上通过遗传算法结合Box-Behnken响应面法对鱼糕冻干配方进行优化。通过扫描电子显微镜(scanning electron microscopy,SEM)分析微观结构,测定蛋白质、脂肪、水分、灰分等理化指标,并基于Arrhenius方程预测货架期。确定了鱼糕冻干最优配方为:相对碎鱼肉用量,猪肥肉添加量10%(质量分数),鸡肉添加量20%,玉米淀粉添加量11%,蛋清添加量8%,综合评分达0.87±0.34。微观结构显示孔隙分布均匀,真空冷冻干燥处理前后关键理化指标无显著变化。基于Arrhenius方程的货架期模型预测25℃贮藏期为77 d,较鲜切鱼糕(4~7 d)延长11倍。本研究得到了色泽均匀、口感酥脆、货架期长以及营养均衡的鱼糕冻干制品,为鱼糕制品常温储运与即食化应用提供借鉴。 展开更多
关键词 鱼糕冻干 配方优化 综合评分 层次分析法 熵权法 遗传算法
暂未订购 下载PDF
考虑资源均衡配置的地铁双车辆段车底运用计划优化研究 认领 引用 被引量：1
15
作者 辛丽平 魏代兴 +2 位作者 刘守元 宋晓轩 张增超 《铁道运输与经济》 北大核心 2026年第5期119-130,共12页
为实现车底资源的均衡配置,在综合考虑车底的运行里程、检修安排和双车辆段检修能力等约束的基础上,以车底与车次的总匹配成本最小为优化目标建立一种车底运用计划编制模型,将模型中的车底运用问题转换为柔性车间调度问题,并采用混合果... 为实现车底资源的均衡配置,在综合考虑车底的运行里程、检修安排和双车辆段检修能力等约束的基础上,以车底与车次的总匹配成本最小为优化目标建立一种车底运用计划编制模型,将模型中的车底运用问题转换为柔性车间调度问题,并采用混合果蝇-遗传优化算法进行求解。在编制车底每日运用计划时,先基于车底的月修后里程和累计总里程2个指标,利用层次分析法求解车底的运行顺序,再严格按指派适应值为车次分配车底。为检验模型的可行性,以北京地铁某号线的数据为例进行分析。实验结果表明:与现有方案相比,研究方案在同等条件下求解指派适应值的收敛速度更快;不但实现车底资源的均衡配置,还能使60 d运行周期内的总匹配成本降低6.4%。在计划检修方面,模型求解的检修日期更具合理性,能去除因检修不及时所致的安全隐患,实现检修资源的合理利用。 展开更多
关键词 车底运用计划 资源均衡配置 层次分析法 混合果蝇-遗传算法 柔性车间调度
暂未订购 下载PDF
An analytical pressure-velocity fusion algorithm-empowered flexible sensing patch for flight parameter detection 认领 引用 被引量：1
16
作者 Yunfan Li Zihao Dong +6 位作者 Zheng Gong Zhiqiang Ma Xin Ke Tianyu Sheng Xiaochang Yang Xilun Ding Yonggang Jiang 《npj Flexible Electronics》 SCIE CSCD 2025年第1期1025-1032,共8页
Flexible sensing array integrated with multiple sensors is an attractive approach for flight parameter detection.However,the poor resolution of flexible sensors and time-consuming neural network processes mitigate the... Flexible sensing array integrated with multiple sensors is an attractive approach for flight parameter detection.However,the poor resolution of flexible sensors and time-consuming neural network processes mitigate their accuracy and adaptability in predicting flight parameters.Here we present an ultra-thin flexible sensing patch with a new configuration,comprising a differential pressure sensor array and a vector flow velocity sensor.The capacitive differential pressure sensor array is fabricated by a multilayer polyimide bonding technique,reaching a resolution of 0.14 Pa.To solve flight parameters with the flexible sensing patch,we develop an analytical pressure-velocity fusion algorithm,enabling fast response and high accuracy in flight parameter detection.The average errors in calculating the angle of attack,angle of sideslip,and airspeed are 0.22°,0.35°,and 0.73 m s-1,respectively.The high-resolution flexible sensors and novel analytical pressure-velocity fusion algorithm pave the way for flexible sensing patch-based air data sensing techniques. 展开更多
关键词 analytical pressure velocity fusion algorithm flight parameter detectionhoweverthe vector flow velocity sensorthe flexible sensing array flexible sensing patch flexible sensors differential pressure sensor array neural network processes
基于QbD理念的小儿消食颗粒成型工艺优化及质量一致性评价方法研究 认领 引用 被引量：3
17
作者 谢洽桐 李海洋 +5 位作者 赵小军 何晗 郭玉凤 刘洋 马世威 吴志生 《中草药》 CAS CSCD 北大核心 2026年第1期53-63,共11页
目的立足于药食同源产品高质量发展的要求,以小儿消食颗粒(Xiaoer Xiaoshi Granules,XXG)为示范,基于质量源于设计(quality by design,QbD)理念建立药食同源颗粒剂的智能驱动式成型工艺优化及质量一致性评价方法。方法首先,使用层次分析... 目的立足于药食同源产品高质量发展的要求,以小儿消食颗粒(Xiaoer Xiaoshi Granules,XXG)为示范,基于质量源于设计(quality by design,QbD)理念建立药食同源颗粒剂的智能驱动式成型工艺优化及质量一致性评价方法。方法首先,使用层次分析法(analytic hierarchy process,AHP)对XXG的成型关键质量属性(critical quality attributes,CQAs)进行权重分配并通过风险评估法确定关键影响因素;其次,在成型关键影响因素的单因素考察后,通过比较Box-Behnken设计-响应面法(Box-Behnken design-response surface methodology,BBD-RSM)与遗传算法-反向传播神经网络法(genetic algorithmbackpropagation neural network,GA-BPNN)优选最佳成型参数组合;最后,根据XXG药食同源的属性特点,对其总黄酮含量的化学质量属性和基于电子舌的口感质量属性进行一致性评价研究。结果确定赋形剂性质、润湿剂乙醇体积分数、润湿剂乙醇用量和辅药比为XXG成型关键影响因素,赋形剂种类及配比为麦芽糊精-甘露醇2∶1、乙醇体积分数84%、乙醇用量0.18 mL/g、辅药比1.5∶1为XXG的最佳成型参数组合,综合评分为103.88。在有效成分含量方面,3批颗粒的总黄酮质量分数依次为8.46、8.82、8.82 mg/g,RSD仅为1.95%。在电子舌智能感官评价方面,3批颗粒在电子舌7根传感器(SCS、ANS、CTS、NMS、AHS、PKS和CPS)上响应值的RSD均在3%以内。结论优选出的XXG最佳成型参数组合稳定可行,该成型工艺的优化方法能为药食同源产品的开发、中药智能制造的发展提供参考价值。 展开更多
关键词 药食同源产品 成型工艺 质量源于设计 遗传算法-反向传播神经网络法 一致性评价 小儿消食颗粒 层次分析法 关键质量属性 Box-Behnken设计-响应面法 总黄酮 电子舌 智能制造
暂未订购 下载PDF
城市绿地植物配置的碳汇效能优化 认领 引用 被引量：1
18
作者 曹珊珊 王楠 《绵阳师范学院学报》 2026年第2期116-123,共8页
城市绿地植被的碳汇效能对于整个生态系统的碳平衡至关重要,但现有的城市绿地植被碳汇效能评估和优化方法存在综合性不足、人力消耗大的缺陷.为了解决这一问题,研究提出耦合多种深度学习算法的智能化城市绿地碳汇效能评估优化方法与模型... 城市绿地植被的碳汇效能对于整个生态系统的碳平衡至关重要,但现有的城市绿地植被碳汇效能评估和优化方法存在综合性不足、人力消耗大的缺陷.为了解决这一问题,研究提出耦合多种深度学习算法的智能化城市绿地碳汇效能评估优化方法与模型,并通过消融实验与模型实用性能测试验证了方法的可行性.实验结果中,模型对于城市绿地植被碳储量和碳汇量的评估结果与真实值的偏差分别为2.31%和4.23%,并且研究方法制定出的城市绿地配置的年成本效益比可达到80.12%.以上结果说明研究提出的方法能够有效满足城市绿地植被配置碳汇效能评估与优化的需求. 展开更多
关键词 城市绿地 碳汇效能 层次分析法 遗传算法
暂未订购 下载PDF
考虑多能源站共享的配电网低碳规划方法 认领 引用
19
作者 田浩 贺帅佳 +1 位作者 刘俊勇 刘友波 《电力自动化设备》 EI CSCD 北大核心 2026年第5期154-163,共10页
针对多类型能源站碳排放差异性与共享复杂性的问题,提出一种考虑高碳、零碳与负碳能源站低碳共享的配电网低碳规划方法。基于碳市场政策建立多类型能源站共享运行模型,其中高碳能源站分别与零碳能源站共享国家核证自愿减排量收益、与负... 针对多类型能源站碳排放差异性与共享复杂性的问题,提出一种考虑高碳、零碳与负碳能源站低碳共享的配电网低碳规划方法。基于碳市场政策建立多类型能源站共享运行模型,其中高碳能源站分别与零碳能源站共享国家核证自愿减排量收益、与负碳能源站共享等效碳排放权。考虑到能源站与配电网的能量耦合关系,以系统总利润最大化为目标,综合考虑配电网投资、运行和碳排放成本以及能源站协同运行收益,建立了能源站共享支撑的配电网低碳规划模型。针对配电网与能源站隶属于不同利益主体的特点,采用目标级联分析算法对该规划模型进行求解。通过改进的IEEE 33节点系统进行算例仿真,结果表明所提方法可以降低配电网投资成本与碳排放水平,提升多类型能源站的整体运行效益。 展开更多
关键词 配电网 低碳规划 能源站 碳排放权交易 收益共享 目标级联分析算法
暂未订购 下载PDF
一种可降低共模电压的简化调制方法 认领 引用
20
作者 魏金成 朱崇婧 +1 位作者 邱晓初 胡秋宇 《电源学报》 CSCD 北大核心 2026年第6期74-83,共10页
针对三电平电压空间矢量脉宽调制方法会导致逆变器产生共模电压CMV(common-mode voltage)的问题,提出一种可降低CMV的简化调制方法。首先将三电平电压空间矢量图通过坐标平移简化为两电平空间矢量图;其次根据开关状态产生CMV的原理,选... 针对三电平电压空间矢量脉宽调制方法会导致逆变器产生共模电压CMV(common-mode voltage)的问题,提出一种可降低CMV的简化调制方法。首先将三电平电压空间矢量图通过坐标平移简化为两电平空间矢量图;其次根据开关状态产生CMV的原理,选用合适的矢量调整空间矢量的开关序列;最后通过推导得出调制波的统一表达式。对比实验结果可知,所提方法能够有效减轻计算负担,并将CMV限制到直流侧电压的1/6。 展开更多
关键词 三电平逆变器 简化解析算法 共模电压
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 40 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈