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A Deep Reinforcement Learning-Based Partitioning Method for Power System Parallel Restoration 认领 引用
1
作者 Changcheng Li Weimeng Chang +1 位作者 Dahai Zhang Jinghan He 《Energy Engineering》 EI 2026年第1期243-264,共22页
Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts.This paper proposes a novel partitioning method based on deep reinforcement learning.First,the partitioning decision... Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts.This paper proposes a novel partitioning method based on deep reinforcement learning.First,the partitioning decision process is formulated as a Markov decision process(MDP)model to maximize the modularity.Corresponding key partitioning constraints on parallel restoration are considered.Second,based on the partitioning objective and constraints,the reward function of the partitioning MDP model is set by adopting a relative deviation normalization scheme to reduce mutual interference between the reward and penalty in the reward function.The soft bonus scaling mechanism is introduced to mitigate overestimation caused by abrupt jumps in the reward.Then,the deep Q network method is applied to solve the partitioning MDP model and generate partitioning schemes.Two experience replay buffers are employed to speed up the training process of the method.Finally,case studies on the IEEE 39-bus test system demonstrate that the proposed method can generate a high-modularity partitioning result that meets all key partitioning constraints,thereby improving the parallelism and reliability of the restoration process.Moreover,simulation results demonstrate that an appropriate discount factor is crucial for ensuring both the convergence speed and the stability of the partitioning training. 展开更多
关键词 Partitioning method parallel restoration deep reinforcement learning experience replay buffer partitioning modularity
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Turbulent Flow and Thermal-Hydrodynamic Optimization in Evaporator Tubes with Transverse Partitions 认领 引用
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作者 Omar Ghoulam Hind Talbi +3 位作者 Kamal Amghar Hamza Faraji Saloua Senhaji Ismael Driouch 《Energy Engineering》 EI 2026年第8期313-345,共33页
This study numerically investigates turbulent flow and thermal performance in evaporator tubes equipped with rectangular partitions positioned at different locations.Two configurations are analyzed:(A)partitions on th... This study numerically investigates turbulent flow and thermal performance in evaporator tubes equipped with rectangular partitions positioned at different locations.Two configurations are analyzed:(A)partitions on the top wall,center of channel,and bottom wall,and(B)partitions on the bottom wall,center of channel,and top wall.In addition,we examine the effect of varying the positions of the obstacles(S=D/2,S=D,S=5D/4,and S=3D/2)and the inclination angle(θ=60°,θ=75°,θ=90°,θ=105°andθ=120°)of the detached obstacle relative to the walls,an innovative aspect that had not been addressed in previous studies.Using computational fluid dynamics(CFD),heat transfer and hydrodynamic behavior are evaluated under steady-state conditions for Reynolds numbers ranging from 10,000 to 30,000.Results show that configuration A enhances dynamic pressure and Nusselt number while reducing friction,yielding a thermal performance enhancement factor(TEF)greater than 1 across all cases.The originality of this work lies in the comparative evaluation of partition positioning and inclination,demonstrating that optimized geometries can significantly improve heat transfer efficiency while minimizing flow resistance compared to conventional evaporators. 展开更多
关键词 Thermal performance numerical simulation transverse partition partitions
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Performance degradation and maintenance optimization strategy of rolling bearings based on data fusion and adaptive partition 认领 引用
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作者 Hong-Chuan Cheng Xin-Hai Li +3 位作者 Guo-Hui Ma Yu Cui Zhi-Wu Shang Xia-Fei Shi 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期178-194,共17页
The traditional method of performance degradation prediction and maintenance of rolling bearings only considers a single sensor signal,which makes it difficult to automatically partition degradation stages and prone t... The traditional method of performance degradation prediction and maintenance of rolling bearings only considers a single sensor signal,which makes it difficult to automatically partition degradation stages and prone to over-detection.A new method of performance degradation evaluation and maintenance of rolling bearings based on data-level fusion,adaptive health state partitioning,and state maintenance is proposed.Firstly,considering the degradation and impact in the process of bearing deterioration,the multi-sensor signals are dynamically weighted to achieve data-level fusion.Secondly,a bearing health index was established based on fast spectral correlation,Wasserstein distance,and linear rectification techniques.On this basis,by combining the Bayesian information criterion and the elbow rule,the precise division of rolling bearing health state is realized through hidden Markov model regression.Then,random forest was used to classify and predict the data to verify the validity of the proposed data fusion method and health indicator.Finally,condition-based maintenance strategy based on the fourth moment,stress-strength interference model,and Gamma process is proposed to avoid excessive detection and reduce maintenance costs.Through accelerated degradation experiments and field validation tests on the rolling bearing test data set of Xi’an Jiaotong University and FEMTO(PRONOSTIA),the accuracy and superiority of the proposed method in the prediction and maintenance of bearing health state are verified. 展开更多
关键词 Rolling bearing Data fusion Gamma process Adaptive partition Maintenance strategy
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Multipoint Deformation Prediction Model Based on Clustering Partition of Extra High-Arch Dams 认领 引用
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作者 Bin Ou Haoquan Chi +3 位作者 Xu’an Qian Shuyan Fu Zhirui Miao Dingzhu Zhao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第1期546-576,共31页
Deformation prediction for extra-high arch dams is highly important for ensuring their safe operation.To address the challenges of complex monitoring data,the uneven spatial distribution of deformation,and the constru... Deformation prediction for extra-high arch dams is highly important for ensuring their safe operation.To address the challenges of complex monitoring data,the uneven spatial distribution of deformation,and the construction and optimization of a prediction model for deformation prediction,a multipoint ultrahigh arch dam deformation prediction model,namely,the CEEMDAN-KPCA-GSWOA-KELM,which is based on a clustering partition,is pro-posed.First,the monitoring data are preprocessed via variational mode decomposition(VMD)and wavelet denoising(WT),which effectively filters out noise and improves the signal-to-noise ratio of the data,providing high-quality input data for subsequent prediction models.Second,scientific cluster partitioning is performed via the K-means++algorithm to precisely capture the spatial distribution characteristics of extra-high arch dams and ensure the consistency of deformation trends at measurement points within each partition.Finally,CEEMDAN is used to separate monitoring data,predict and analyze each component,combine the KPCA(Kernel Principal Component Analysis)and the KELM(Kernel Extreme Learning Machine)optimized by the GSWOA(Global Search Whale Optimization Algorithm),integrate the predictions of each component via reconstruction methods,and precisely predict the overall trend of ultrahigh arch dam deformation.An extra high arch dam project is taken as an example and validated via a comparative analysis of multiple models.The results show that the multipoint deformation prediction model in this paper can combine data from different measurement points,achieve a comprehensive,precise prediction of the deformation situation of extra high arch dams,and provide strong technical support for safe operation. 展开更多
关键词 Extra high arch dams deformation prediction data noise reduction spatial distribution clustering partition
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Maize Chlorotic Leaf Spot1 encodes a fumarylacetoacetate hydrolase essential for carbohydrate partitioning 认领 引用
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作者 Ruchang Ren Sihang Zhao +8 位作者 Hong Jia Hao Li Lishuan Wu Jinge Tian Yifan Zhu Junxiang Tang Xiangyang Guo Chenglong Wang Feng Tian 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2026年第4期679-690,共12页
Carbohydrate partitioning from photosynthetic sources to non-photosynthetic sinks is essential for plant development and crop yield.Using a maize-teosinte BC2S3 population,we identify Chlorotic Leaf Spot1(CLS1),a fuma... Carbohydrate partitioning from photosynthetic sources to non-photosynthetic sinks is essential for plant development and crop yield.Using a maize-teosinte BC2S3 population,we identify Chlorotic Leaf Spot1(CLS1),a fumarylacetoacetate hydrolase(FAH) in the tyrosine degradation pathway that plays an essential role in carbohydrate partitioning in maize.CLS1 localizes to the plasma membrane,cytoplasm,and nucleus.Allelic tests and sequence analysis reveal that the teosinte parent CIMMYT8759 carries a weak allele of CLS1,likely due to rare amino acid substitutions at residues 175 and 355.Loss-of-function mutants of CLS1 develop chlorotic leaf spots accompanied by carbohydrate hyperaccumulation,reduced photosynthetic efficiency,chloroplast damage,and impaired transient starch conversion.Critically,c/s1 mutants exhibit ectopic callose accumulation and aberrant plasmodesmata ultrastructure at the mesophyll-bundle sheath and bundle sheath-vascular parenchyma interfaces.This defect causes starch granule and soluble sugar accumulation in chlorotic leaf tissues,indicating a disruption of the symplastic transport pathway.Collectively,our results uncover an important role for FAH in plant development and identify CLS1 as a key regulator of symplastic carbohydrate partitioning. 展开更多
关键词 Maize Fumarylacetoacetate hydrolase Carbohydrate partitioning Plasmodesmata Tyrosine degradation
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Collaborative Area Coverage Method for UAV Swarm Under Complex Boundary Conditions:A Region Partitioning Approach 认领 引用
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作者 Jiabin Yu Haocun Wang +4 位作者 Bingyi Wang Yang Lu Xin Zhang Qian Sun Zhiyao Zhao 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第1期524-548,共25页
Unmanned aerial vehicles(UAVs)are widely utilized in area coverage tasks due to their flexibility and efficiency in geo-graphic information acquisition.However,complex boundary conditions in actual water area maps oft... Unmanned aerial vehicles(UAVs)are widely utilized in area coverage tasks due to their flexibility and efficiency in geo-graphic information acquisition.However,complex boundary conditions in actual water area maps often reduce coverage efficiency.To address this issue,this paper proposes a map preprocessing algorithm that linearizes boundary lines and processes concave areas into concave polygons,followed by gridding the map.Additionally,a collaborative area coverage method for UAV swarms is introduced based on region partitioning,which considers the comprehensive cost of energy consumption and time.An improved Hungarian algorithm is utilized for region partitioning,and a Dubins-A*-based plow-ing area full coverage path planning method is proposed to achieve path smoothing and collaborative coverage of each partition.Two sets of simulation experiments are conducted.The first experiment verifies the effectiveness of the map preprocessing algorithm,and the second compares the proposed collaborative area coverage algorithm with other methods,demonstrating its performance advantages. 展开更多
关键词 Complex boundaries UAV swarm Collaborative area coverage Map preprocessing Region partitioning
Aerodynamic/control coupling optimization method for reusable vehicles using adaptive partitioning 认领 引用
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作者 Lulu JIANG Xin PAN +2 位作者 Chao DONG Yuan FU Gang CHEN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期340-354,共15页
To address the issues of poor lateral stability,strong interactions between channels,and the inherent trade-offs of global optimization methods in the aerodynamic shape design of reusable hypersonic vehicles,this stud... To address the issues of poor lateral stability,strong interactions between channels,and the inherent trade-offs of global optimization methods in the aerodynamic shape design of reusable hypersonic vehicles,this study proposes an Adaptive Partitioning Optimization(APO)method for aerodynamic/control coupling design.The APO method explicitly integrates the interactions between aerodynamic configuration and longitudinal/lateral control performance,while introducing a variable correlation-based partitioning strategy.This enables multi-channel aerodynamic/control collaborative optimization while avoiding the performance compromises associated with global multidisciplinary optimization.To address the high computational cost of control performance evaluation,a sample augmentation strategy with interpolation correction is introduced,reducing cost while maintaining accuracy.Optimization of a representative reusable vehicle demonstrates that this framework achieves a 2.23%increase in lift-to-drag ratio,a 0.56%reduction in drag coefficient,and enhanced lateral stability.Moreover,it achieves better coordination between aerodynamic and control objectives compared to global optimization.These results highlight the practical value of the APO method in improving aerodynamic and control performance for reusable hypersonic vehicles,offering a scalable and computationally efficient solution for multidisciplinary aerodynamic/control co-design in hypersonic vehicle applications. 展开更多
关键词 Adaptive partitioning Aerodynamic/control coupling Multichannel control Reusable vehicle Shape optimization Small sample interpolation
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Distribution Network Partitioning and Distributed Voltage Coordinated Optimization Method under High-Proportion Photovoltaic Penetration 认领 引用
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作者 Jian Wang Gongqiang Yang +2 位作者 Yufeng Sun Gangui Yan Jie Long 《Energy Engineering》 EI 2026年第6期410-442,共33页
Given that the power grid partitioning method relying mainly on line reactive power flow information sees frequent changes in partitioning results with reactive power flow fluctuations under high-proportion fixed-powe... Given that the power grid partitioning method relying mainly on line reactive power flow information sees frequent changes in partitioning results with reactive power flow fluctuations under high-proportion fixed-powerfactor PV-connected distribution networks,and traditional distributed PV collaborative optimization fails to adapt due to such changes,a stable partitioning and distributed PV collaborative optimization method for this scenario is proposed.Firstly,the Gaussian mixture model(GMM)is used to characterize the characteristics of PV reactive power output,obtaining the typical curve of PV reactive power output.Secondly,the Monte Carlo Simulation(MCS)probabilistic power flow calculation is performed to obtain the node voltage distribution of the distribution network.Thirdly,based on the node voltage distribution,the Earth Mover’s Distance(EMD)is used to obtain the statistical distance between any two nodes,and this statistical distance is combined with the electrical distance defined by node voltage sensitivity to form a comprehensive electrical distance.Then,the affinity propagation clustering algorithm is applied,and considering the dynamic reactive power margin requirement,the reactive power/voltage partitioning result is obtained.Based on the reactive power partitioning result,a reactive power optimization model is established with the minimum active power loss of the system as the objective function.The optimization model is convexified using the LinDistFlow equation,and the Alternating Direction Multiplier Method(ADMM)is adopted to coordinate the reactive power output of PV inverters in each partition,achieving global optimal voltage control in the distribution network.Finally,the proposed method is verified using the IEEE 33-bus system.The application of this method reduces the system power loss by 35.94%.Compared with the traditional partitioning method,the partitioning variation rate under Scenario 1 is reduced by 54.17%and that under Scenario 2 is reduced by 70.85%when this method is adopted.This fully demonstrates that the partitioning results of the proposed method are stable,and the collaborative optimization method can improve the system voltage stability and reduce the system power loss. 展开更多
关键词 Gaussian mixture model Monte Carlo trend distribution network partition distributed voltage control synchronous ADMM
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Resource-aware distributed quantum circuits partitioning strategy and transmission cost optimization 认领 引用
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作者 Pengcheng Zhu Zongyuan Dai +2 位作者 Lihua Wei Jin Qian Shi-Guang Feng 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期393-408,共16页
To overcome the physical limitations of current quantum hardware in terms of available qubits and connectivity,distributed quantum computing(DQC)has emerged as a promising and scalable paradigm.However,in distributed ... To overcome the physical limitations of current quantum hardware in terms of available qubits and connectivity,distributed quantum computing(DQC)has emerged as a promising and scalable paradigm.However,in distributed settings,cross-node qubit interactions incur high communication overhead due to the use of costly quantum communication protocols.Efficient circuit partitioning and transmission cost optimization have thus become key challenges.This work addresses the often-overlooked issues of hardware heterogeneity and redundant transmission by proposing a resource-aware partitioning and transmission cost optimization method for distributed quantum circuits.First,we develop a partitioning framework constrained by qubit resources,which accommodates node capacity differences to enable flexible qubit allocation.Second,we model gate dependencies using a directed acyclic graph(DAG)representation and introduce formal criteria to detect“initial-state”and“final-state”redundancies.A measurement-reset strategy is then employed to replace part of the quantum communication,reducing inter-node data transmission.Experimental results on a variety of benchmark circuits and heterogeneous architectures demonstrate that our method significantly reduces transmission cost and improves overall resource utilization.These findings offer both theoretical insight and practical guidance for efficient distributed quantum computing. 展开更多
关键词 distributed quantum computing quantum circuits circuits partitioning resource-aware
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Distribution Network Partitioning for Voltage Regulation Using Heterogeneous Graph Neural Networks Considering Cyber-Attacks Risk 认领 引用
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作者 Lei Xu Bo Zhang +1 位作者 Chunxia Dou Dong Yue 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期995-997,共3页
Dear Editor,The integration of distributed energy resources(DERs)and communication infrastructures makes distribution networks increasingly cyber-physical,requiring resilient and real-time voltage regulation.Network p... Dear Editor,The integration of distributed energy resources(DERs)and communication infrastructures makes distribution networks increasingly cyber-physical,requiring resilient and real-time voltage regulation.Network partitioning enables scalable control,yet existing methods often ignore communication and security constraints or rely on costly optimization,limiting practicality under dynamic and adversarial conditions. 展开更多
关键词 scalable controlyet distribution network partitioning heterogeneous graph neural networks distributed energy resources communication infrastructures cyber attacks risk distributed energy resources ders voltage regulation
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A partitioned method for a water-sediment-foundation-dam system response based on a generalized saturated porous medium model and localized Lagrange multipliers 认领 引用
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作者 Zhang Jiao Chen Shaolin +1 位作者 Liu Hongquan Zhang Yanhong 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第3期663-682,共20页
The seismic analysis of an open water-sediment-foundation-dam(WSFD)system can be decomposed into a free-field problem for an auxiliary system and an interaction problem for a bounded WSFD system.Both of them involve c... The seismic analysis of an open water-sediment-foundation-dam(WSFD)system can be decomposed into a free-field problem for an auxiliary system and an interaction problem for a bounded WSFD system.Both of them involve complex wave coupling problems across multiple different media.This study develops a partitioned method and integrates a 2D-3D finite element procedure,based on a generalized saturated porous medium(GSPM)model and a novel localized Lagrange multipliers(LLM)method.The GSPM model fundamentally eliminates multi-solver coupling through a unified representation of heterogeneous media.The novel LLM method enables simultaneous interaction of multiple different media,transcending the inherent limitations in classical fluid-solid interface treatments.In implementation,a more realistic input for the bounded system is provided by computing the free-field for the auxiliary system using the 2D procedure,reducing numerical errors caused by multi-transmitting boundary.The accuracy of the partitioned method is examined through numerical simulations of an idealized dam-reservoir-foundation system,with results compared against those obtained from the direct method.Finally,the effects of sediment and nonlinearity on dam are investigated by augmenting a plastic-damage constitutive module. 展开更多
关键词 water-sediment-foundation-dam system generalized saturated porous medium model localized Lagrange multipliers partitioned analysis seismic response analysis
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Person re-identification method based on keypoint-based dynamic region partitioning and APLNet 认领 引用
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作者 Hongyi WANG Xirui YANG +2 位作者 Xinjun ZHU Limei SONG Yunpeng LI 《Optoelectronics Letters》 EI 2026年第4期243-249,共7页
To promote the technology of person re-identification(Re-ID)in intelligent video analysis,a new segmentation method of keypoint-based dynamic region partitioning(KDRP)and an improved adaptive average pooling layer lis... To promote the technology of person re-identification(Re-ID)in intelligent video analysis,a new segmentation method of keypoint-based dynamic region partitioning(KDRP)and an improved adaptive average pooling layer list network(APLNet)are proposed in this work.The KDRP addresses the limitations of traditional stripe segmentation methods avoiding the influence of shooting angles and pedestrian postures.The APLNet integrates the adaptive average pooling layer list(AAPLL)module and the priority circle loss(P-circle loss)to solve the problem of inconsistent size of feature map and promote the model performance respectively.Experimental results on different datasets have validated the effectiveness of the proposed method. 展开更多
关键词 adaptive average pooling layer traditional stripe segmentation methods adaptive average pooling layer list aplnet intelligent video analysisa segmentation method person re identification keypoint based dynamic region partitioning
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A dynamic partition weight strategy for accelerating parallel adaptive Cartesian grid generation 认领 引用
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作者 Hang CHEN Zhenming WANG +3 位作者 Linlin TIAN Jianming LIU Ning QIN Ning ZHAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第7期302-312,共11页
The generation of meshes and the Adaptive Mesh Refinement(AMR)have presented considerable challenges in computational fluid dynamics.This paper presents a strategy for automatic adaptive Cartesian grid generation with... The generation of meshes and the Adaptive Mesh Refinement(AMR)have presented considerable challenges in computational fluid dynamics.This paper presents a strategy for automatic adaptive Cartesian grid generation within a multicore parallel framework based on the Dynamic Partition Weight(DPW)method.It integrates the unique features of cells generated before and after each AMR and predicts the number of iterations for each cell.The partition weight of the cell is set in proportion to the number of iterations,and the grid-parallel repartition that considers the partition weight is performed before executing computations that require geometric information retrieval.A number of configurations,including a wing-body,are selected for analysis to evaluate the strategy's effectiveness.The results indicate that the computational load imbalance is alleviated during the Cartesian grid generation process,significantly reducing time consumption,with an improvement rate exceeding 50%.For the wing-body case,a 1.37-billion-cell grid is generated in 44.49 s by using 1024 cores with the DPW strategy,demonstrating DPW's efficiency and strong parallel scalability for Cartesian mesh generation. 展开更多
关键词 Adaptive grid generation Cartesian mesh Dynamic grid partition k-d tree Parallel computing
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Divergent defense strategies and niche partitioning in Cretaceous micro-beetles 认领 引用
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作者 Yan-Da Li Zhi-Hao Qi +1 位作者 Di-Ying Huang Chen-Yang Cai 《Journal of Systematics and Evolution》 SCIE CSCD 2026年第2期354-362,共9页
The evolutionary arms race between insects and their predators has fueled remarkable defensive adaptations,offering insights into ecological dynamics across deep time.Fossils provide critical evidence for studying the... The evolutionary arms race between insects and their predators has fueled remarkable defensive adaptations,offering insights into ecological dynamics across deep time.Fossils provide critical evidence for studying the evolution of defense strategies.Here,we describe a new lineage of Clambidae from mid-Cretaceous Kachin amber,Scutacalyptus kolibaci gen.et sp.nov.Scutacalyptus stands out within the family due to the flattened body and fully explanate body margins.The diversity of defensive morphotypes in Cretaceous Clambidae,including conglobators like Sphaerothorax,semi-flattened forms like Acalyptomerus,and shield-formers like Scutacalyptus,highlights their developmental plasticity and suggests ecological differentiation in response to varied predation pressures during the late Mesozoic.This morphological divergence reflects niche partitioning in the Cretaceous forest floor ecosystem,driven by a diverse predator array including spiders,ants,lizards,and birds.The coexistence of clambids with spines or explanate margins parallels adaptations in the modern,unrelated Cassidinae,where tortoise beetles use explanate margins and some leaf-mining beetles use spines,each tailored to counter specific predation pressures.These parallel strategies reveal how different defenses likely addressed distinct ecological challenges in the mid-Cretaceous. 展开更多
关键词 beetle Clambidae Cretaceous defense niche partitioning
Surface partitioning and iso-scallop field-based five-axis machining method with a non-spherical cutting tool 认领 引用
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作者 Jiancheng HAO Pengcheng HU +5 位作者 Dong HE Ke CHENG Zhaoyu LI Xiangyu LI Haokun CHEN Bowen DU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期643-660,共18页
The machining performance of five-axis machining can be significantly enhanced by partitioning the surface into subregions,each employing an adaptive machining strategy.This approach is particularly beneficial because... The machining performance of five-axis machining can be significantly enhanced by partitioning the surface into subregions,each employing an adaptive machining strategy.This approach is particularly beneficial because non-spherical cutting tools offer a wide range of effective cutting radii,making them ideal for efficiently machining of complex surfaces while preventing local gouging.Current methods for partitioning complex surface primarily focus on individual surface geometries designed for conventional cutting tools,which are inadequate for accommodating non-spherical cutting tools and fail to consider the comprehensive geometric factors related to both the surface and the cutting tool.In this research,we propose a vertex clustering-based surface partitioning method that utilizes three novel geometric metrics to represent interference conditions,tool orientation smoothness,and cutting width.Based on the partitioned surface,we introduce a method for generating and smoothing a preferred tool orientation vector field.From this,we generate an iso-scallop distance scalar field,where the iso-scallop Cutter Contact(CC)curves are defined as the iso-curves of the proposed scalar field.To validate our proposed method,we conducted computer simulations and physical cutting experiments.The results demonstrated that the average cutting width achieved by our approach significantly surpasses that of two benchmark methods,leading to drastically reduced path lengths and machining time. 展开更多
关键词 Computer aided manufacturing Customized tool Five-axis tool path Iso-scallop tool path Machining efficiency Surface partitioning
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Solution to strong partition of 2-balanced regular multipartite tournaments 认领 引用
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作者 AI Jiangdong HE Fankang LIU Yihang 《运筹学学报（中英文）》 CSCD 北大核心 2026年第2期45-57,共13页
call a partition of a c-partite tournament into tournaments of order c strong if each tournament is strongly connected.The strong partition number,denoted as ST(r),represents the minimum integer c'such that every ... call a partition of a c-partite tournament into tournaments of order c strong if each tournament is strongly connected.The strong partition number,denoted as ST(r),represents the minimum integer c'such that every regular r-balanced c-partite tournament has a strong partition for all c≥c.Figueroa,Montellano-Ballesteros,and Olsen showed the existence of ST(r)for all r≥2 and proved that 5≤ST(2)≤7.In this note,we establish that ST(2)=6 and we also show the unique 2-balanced 5-partite tournament which has no strong partition. 展开更多
关键词 multi-partite tournament strong partition control
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HATLedger:An Approach to Hybrid Account and Transaction Partitioning for Sharded Permissioned Blockchains 认领 引用
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作者 Shuai Zhao Zhiwei Zhang +2 位作者 Junkai Wang Ye Yuan Guoren Wang 《Computers, Materials & Continua》 SCIE EI 2026年第3期1589-1607,共19页
With the development of sharded blockchains,high cross-shard rates and load imbalance have emerged as major challenges.Account partitioning based on hashing and real-time load faces the issue of high cross-shard rates... With the development of sharded blockchains,high cross-shard rates and load imbalance have emerged as major challenges.Account partitioning based on hashing and real-time load faces the issue of high cross-shard rates.Account partitioning based on historical transaction graphs is effective in reducing cross-shard rates but suffers from load imbalance and limited adaptability to dynamic workloads.Meanwhile,because of the coupling between consensus and execution,a target shard must receive both the partitioned transactions and the partitioned accounts before initiating consensus and execution.However,we observe that transaction partitioning and subsequent consensus do not require actual account data but only need to determine the relative partition order between shards.Therefore,we propose a novel sharded blockchain,called HATLedger,based on Hybrid Account and Transaction partitioning.First,HATLedger proposes building a future transaction graph to detect upcoming hotspot accounts and making more precise account partitioning to reduce transaction cross-shard rates.In the event of an impending overload,the source shard employs simulated partition transactions to specify the partition order across multiple target shards,thereby rapidly partitioning the pending transactions.The target shards can reach consensus on received transactions without waiting for account data.The source shard subsequently sends the account data to the corresponding target shards in the order specified by the previously simulated partition transactions.Based on real transaction history from Ethereum,we conducted extensive sharding scalability experiments.By maintaining low cross-shard rates and a relatively balanced load distribution,HATLedger achieves throughput improvements of 2.2x,1.9x,and 1.8x over SharPer,Shard Scheduler,and TxAllo,respectively,significantly enhancing efficiency and scalability. 展开更多
关键词 Sharded blockchain account partitioning cross-shard transaction rate load imbalance
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The Effect of Polymerization of Ionic Liquid [C4Vim]Br on Phase Behavior and Partitioning of L-tryptophan: Experimental and Molecular Dynamics Study 认领 引用
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作者 Petr A.Korchak Evgenia A.Safonova +1 位作者 Igor Yu.Gotlib Alexey I.Victorov 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2026年第7期2352-2360,共9页
In recent decades, there is growing interest in various applications of polymerized ionic liquids(PILs), particularly in the aqueous biphasic systems(ABSs) used as media for extraction of solutes. In this work, we rep... In recent decades, there is growing interest in various applications of polymerized ionic liquids(PILs), particularly in the aqueous biphasic systems(ABSs) used as media for extraction of solutes. In this work, we report new experimental data on the binodal curve and tie lines in the ABSs containing PIL and non-polymerized ionic liquid(IL): poly-[C4Vim]Br-K3PO4-H2O and [C4Vim]Br-K3PO4-H2O at 298.15 K. For the ABS with PIL, the partition coefficient of L-tryptophan between the liquid phases is obtained from experiment and compared with our previous data on ABS [C4mim]Br-K3PO4-H2O containing non-polymerized IL. We conclude that the ABS containing poly-[C4Vim]Br has a lower extraction efficiency than the ABS based on non-polymerized ILs. To elucidate the mechanism underlying such behavior of the PIL-containing mixture, we performed MD simulations of PIL-rich aqueous mixtures in presence of K3PO4 and L-tryptophan. We obtained diffusion coefficients of low molecular mass ions and water, and data on the distribution of these species around polycation over a range of mixture compositions. MD data show that poly-[C4Vim]Br exhibits no favorable selectivity towards L-tryptophan anions in the presence of phosphate background. This confirms unfavorable combination of poly-[C4Vim]Br with phosphate for the extraction of L-tryptophan, in accord with our experimental findings. 展开更多
关键词 Aqueous biphasic systems Molecular dynamics Partitioning of L-tryptophan Phase diagrams Polymerized ionic liquids
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A Spatiotemporal Collaborative Framework for Dynamic Cluster Partitioning in EV/EC-Integrated Distribution Networks 认领 引用
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作者 Fukang Zhang Yang Wang +1 位作者 Runtian Tang Zhixin Yun 《Energy Engineering》 EI 2026年第5期97-118,共22页
The large-scale integration of electric vehicle(EV)and exchange stations(EC)into distribution networks introduces strong spatiotemporal load fluctuations and charging capacity constraints,leading to frequent voltage v... The large-scale integration of electric vehicle(EV)and exchange stations(EC)into distribution networks introduces strong spatiotemporal load fluctuations and charging capacity constraints,leading to frequent voltage violations and reduced control flexibility.Traditional centralized control approaches face critical limitations,including high communication latency and computational complexity.To address these challenges,this paper proposes a Hybrid Intelligence(HI)-driven framework for distribution networks,which explicitly considers EV/EC charging power limits,cluster-level resource balance,and voltage security constraints.By incorporating spatiotemporal characteristics with intelligent optimization techniques,a Variant Monte Carlo Sampling(VMCS)algorithm is developed to generate the initial node partitions.These partitions are further refined using a Capacity-Corrected K-means Extension combined with Simulated Annealing Optimization(CCE-SAO),resulting in an optimized cluster configuration.A two-layer control architecture,termed“spatiotemporal collaborative optimization—distributed iteration,”is established to effectively address the drawbacks of traditional static clustering methods in large-scale systems,such as vulnerability to local optima and limited adaptability.This enhances global optimization under complex operational scenarios.Simulation results on the IEEE 33-bus and IEEE 123-bus test systems show that the proposed HI-based method effectively improves voltage quality.In the IEEE 33-bus system,the voltage deviation at the most fluctuating node is reduced by 30%compared with conventional K-means clustering and by 40%compared with centralized control under peak load conditions,validating the effectiveness of the proposed framework for future distribution networks with large-scale EVEC integration. 展开更多
关键词 Cluster partitioning hybrid intelligent EV/EC distribution networks
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Vertex partition of planar graphs with girth at least 5 into bounded trees 认领 引用
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作者 TIAN Chunyu ZHENG Wei SUN Lei 《纯粹数学与应用数学》 2026年第2期308-316,共9页
In this paper we focus on vertex partitions of graphs such that each partite set induces a graph with a given structure.A graph G admits a(Tk,Tk)-partition if V(G)can be partitioned into two non-empty subsets Vi... In this paper we focus on vertex partitions of graphs such that each partite set induces a graph with a given structure.A graph G admits a(Tk,Tk)-partition if V(G)can be partitioned into two non-empty subsets Vi and V2such that G[V1]and G[V2]are graphs whose components are trees of order at most k.We prove that every planar graph with girth at least 5 and property P(i,j)admits a(T5,T5)-partition,where i{5,6}and j{5,6,7,8,9}. 展开更多
关键词 planar graph girth vertex partition discharging procedure
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