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基于人工智能的大系统分层在线暂态稳定评估

电力系统自动化 2000年第2期24卷 22-26页

作者：管霖曹绍杰华南理工大学电力学院广州510640 香港城市大学制造工程系

在对比分析电力系统已有暂态稳定评估 ( TsA)方法的基础上 ,提出了一种以人工智能为主体的层次型大系统在线暂态稳定评估方案。以一个 7机 2 4节点系统为例 ,详细介绍了基于启发式推理和人工神经网络的方案实现过程及仿真测试结果 ,并... 详细信息

在对比分析电力系统已有暂态稳定评估 ( TsA)方法的基础上 ,提出了一种以人工智能为主体的层次型大系统在线暂态稳定评估方案。以一个 7机 2 4节点系统为例 ,详细介绍了基于启发式推理和人工神经网络的方案实现过程及仿真测试结果 ,并重点讨论了基于样本的输入特征向量筛选方法。该方案无需时域积分运算 ,能提供故障筛选、稳定评级、主导失稳机组估计以及危险事件的故障临界切除时间 ( CCT)估计等多级稳定信息 ,较好地满足了在线

关键词：电力系统暂态稳定评估人工智能大系统

system Design, Modelling, and Control of a Four-Wheel-steering Mobile Robot

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System Design, Modelling, and Control of a Four-Wheel-Steeri...

启发式电力系统暂态稳定裕度在线评估方法研究

第十九届中国控制会议

作者： Maxim Makatchev John J．McPhee s.k.tso sherman Y．T．Lang Dept．of Manufacturing Engineering and Engineering Management City University of Hong kong Hong kong Dept．of systems Design Engineering University of Waterloo Ontario Canada N2L 3G1 Centre for Intelligent Design Automation and Manufacturing City University of Hong Kong Hong Kong Integrated Manufacturing Technologies Institute National Research Council of Canada London OntarioCanada N6G 4X8

＜正＞This paper describes a dynamic model and cross-coupling control of a mobile robot with four independently steered and driven wheels. The dynamic model incorporates the components of the wheel mechanisms, backlash effects of the wheel actuators and nonlinear forces produced by the tire-ground interaction. The problem of computationally efficient control of the vehicle is solved using a low-level control loop that cross-couples steering and driving motors and is utilized in conjunction with a kinematics-based trajectory-tracking controller. The results of simulation show significant reduction of the vehicle slip with moderate trajectory-tracking errors.

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电网技术 1998年第1期22卷 43-48页

作者：管霖吴捷曹绍杰华南理工大学电力学院香港城市大学制造工程与工程管理学系

本文定义了一个能综合反映电力系统特定结构和运行方式下整体暂态稳定水平的连续指标：综合临界切除时间（ＧＣＣＴ）。结合知识库、模糊逻辑推理和综合技术，本文提出了一种能以较高精度在线估计ＧＣＣＴ值的暂态稳定估计（ＴＳＡ）方... 详细信息

本文定义了一个能综合反映电力系统特定结构和运行方式下整体暂态稳定水平的连续指标：综合临界切除时间（ＧＣＣＴ）。结合知识库、模糊逻辑推理和综合技术，本文提出了一种能以较高精度在线估计ＧＣＣＴ值的暂态稳定估计（ＴＳＡ）方法。利用该方法推理过程的中间结果还能帮助确定系统中稳定裕度较低的部分机群。文章以一个７机电力系统为例，集中探讨了知识库和模糊推理模型的构造、ＧＣＣＴ的估计方法以及推理结果的综合分析等问题。

关键词：电力系统暂态稳定估计稳定性在线评估

用于暂态稳定评估的人工神经网络输入空间压缩方法

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电力系统自动化 2001年第2期25卷 32-35,39页

作者：张琦韩祯祥曹绍杰顾雪平浙江大学电气工程学院杭州310027 香港城市大学智能设计自动化及制造研究中心华北电力大学电力工程系保定071003

应用粗糙集理论中的决策表化简技术 ,提出了一种压缩人工神经网络 (ANN)输入空间的方法 ,改善了 ANN用于电力系统暂态稳定评估 (TsA)时面临的数据训练瓶颈问题。由于训练样本是连续性的数据 ,采取了 3种离散化方法 :等频法、等距法和最... 详细信息

应用粗糙集理论中的决策表化简技术 ,提出了一种压缩人工神经网络 (ANN)输入空间的方法 ,改善了 ANN用于电力系统暂态稳定评估 (TsA)时面临的数据训练瓶颈问题。由于训练样本是连续性的数据 ,采取了 3种离散化方法 :等频法、等距法和最大熵法。用 1 0机 39节点的新英格兰系统测试了该数据压缩方法的有效性。ANN初始输入变量为 1 1个 ,利用粗糙集化简方法抽取出 6个关键特征变量 ,样本集压缩了 45.5% ,而 ANN稳定分类器的判别效果并没有因此受到影响。

关键词：电力系统暂态稳定评决策表人工神经网络粗糙集理论

电子图书馆多媒体信息传输服务质量管理的研究

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计算机工程与应用 2003年第25期39卷 38-41页

作者：陆璐黄巨涛曹绍杰华南理工大学计算机系广州510641 广东省广电集团科信部广州510600 香港城市大学计算机与智能应用中心

该文在浏览器/服务器环境下建立了一个数字化图书馆多媒体数据流同步传输的管理方案。定义了多媒体对象、任务、同步化传输约束条件以及相应的QOs评价指标,基于上述方案及评价指标,给出了数字化图书馆多媒体流同步传输的控制算法以及相... 详细信息

该文在浏览器/服务器环境下建立了一个数字化图书馆多媒体数据流同步传输的管理方案。定义了多媒体对象、任务、同步化传输约束条件以及相应的QOs评价指标,基于上述方案及评价指标,给出了数字化图书馆多媒体流同步传输的控制算法以及相应的实验结果。

关键词：服务质量多媒体电子图书馆同步传输

Intrumer:A Multi Module Distributed Explainable IDs/IPs for securing Cloud Environment

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Computers, Materials & Continua 2025年第1期82卷 579-607页

作者： Nazreen Banu A s.k.B.sangeetha Department of Computer science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia

The increasing use of cloud-based devices has reached the critical point of cybersecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDs,have been developed to tackle these ***,most conventional Intrusion Detection system(IDs)models struggle with unseen cyberattacks and complex high-dimensional *** fact,this paper introduces the idea of a novel distributed explainable and heterogeneous transformer-based intrusion detection system,named INTRUMER,which offers balanced accuracy,reliability,and security in cloud settings bymultiplemodulesworking together within *** traffic captured from cloud devices is first passed to the TC&TM module in which the Falcon Optimization Algorithm optimizes the feature selection process,and Naie Bayes algorithm performs the classification of *** selected features are classified further and are forwarded to the Heterogeneous Attention Transformer(HAT)*** this module,the contextual interactions of the network traffic are taken into account to classify them as normal or malicious *** classified results are further analyzed by the Explainable Prevention Module(XPM)to ensure trustworthiness by providing interpretable *** the explanations fromthe classifier,emergency alarms are transmitted to nearby IDsmodules,servers,and underlying cloud devices for the enhancement of preventive *** experiments on benchmark IDs datasets CICIDs 2017,Honeypots,and NsL-kDD were conducted to demonstrate the efficiency of the INTRUMER model in detecting network trafficwith high accuracy for different *** outperforms state-of-the-art approaches,obtaining better performance metrics:98.7%accuracy,97.5%precision,96.3%recall,and 97.8%*** results validate the robustness and effectiveness of INTRUMER in securing diverse cloud environments against sophisticated cyber threats.

关键词： Cloud computing intrusion detection system transformers and explainable artificial intelligence(XAI)

Nucleoside modified mRNA-lipid nanoparticles as a new delivery platform for the repair of the injured spinal cord

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Neural Regeneration Research 2025年第8期20卷 2311-2312页

作者： krisztián Pajer Tamás Bellák Antal Nógrádi Department of Anatomy Histology and EmbryologyAlbert Szent-Györgyi Medical SchoolUniversity of SzegedSzegedHungary

spinal cord injury and treatment opportunities:The adult mammalian spinal cord has a very limited capacity for spontaneous regeneration due to various intrinsic molecular and cellular *** the spinal cord neurons have the capacity to regenerate their axons,the expression of growth inhibitory factors,lack or suppression of proper guidance cues,and profound inflammatory responses do not permit successful regeneration(khyeam et al.,2021).

关键词： injured capacity modified

Metal-organic frameworks (MOFs) in aqueous batteries (ABs):unlocking potential through innovative materials design

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science China Chemistry 2025年

作者： Bo Han Erhai Hu Bei-Er Jia Ziyang Liu shuen tso Afriyanti sumboja Ivandini T.Anggraningrum Anne Zulfia syahrial Qingyu Yan sCARCE Laboratory Energy Research Institute NTU (ERIN) Nanyang Technological University school of Materials science and Engineering Nanyang Technological University Material science and Engineering Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Department of Chemistry University of Indonesia Metallurgical & Materials Engineering Department Fakultas Teknik Universitas Indonesia

Metal-organic frameworks (MOFs) represent a revolutionary class of materials in the field of energy storage,particularly for aqueous batteries (ABs).Distinguished by their large surface area,tuneable porosity,and adaptable chemical activity,MOFs offer significant advantages over conventional materials in battery *** article provides a thorough analysis of the crucial role that MOFs play in improving the efficiency of *** includes a concise review of the current research progress,emphasizing the fundamental processes by which MOFs enhance electrochemical ***,the review examines the synthesis and design strategies for the structure of MOFs to maximize ion transport,improve conductivity,and enhance *** structural advantages,chemical versatility,stability,durability and functionalization potential of MOFs are comprehensively ***,we explore the distinct advantages of MOFs in overcoming common challenges encountered in ABs,such as declining capacity,inadequate cycling stability,and limited energy *** paper also highlights the future research directions needed to fully harness their *** goal is to develop a fundamental understanding and stimulate further progress in the use of MOFs for advanced energy storage solutions.

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Revisiting cerebral endothelial cells in Alzheimer’s disease

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Neural Regeneration Research 2025年第10期20卷 2911-2912页

作者： Amira s.Hanafy Department of Neurosurgery University Hospital BonnBonnGermany

Alzheimer’s disease(AD)is the most common neurodegenerative disorder characterized by slow and progressive decline of cognitive and memory *** only approximately 5%of the cases,AD is familial,as often predisposed by genetic mutations(Hoogmartens et al.,2021),while sporadic AD accounts for approximately 95%of the *** amyloid cascade hypothesis is one of the fundamental hypotheses put out to explain AD pathogenesis as dysregulated homeostasis of amyloid-β(Aβ)peptides that leads to the accumulation of Aβplaques in the parenchyma,an anatomical hallmark of AD.

关键词： Alzheimer Aβ cerebral