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2,266篇文章
< 1 2 … 114 >
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：
Amino Acid Transporter OsAAP18 Modulates Nitrogen Allocation to Boost Yield and Grain Quality in Rice 认领 引用
1
作者 HE Chongchong YANG Xiaochuan +6 位作者 ZHANG Jie WU Wenhao WANG Chuanbo CHEN Wenbo WU Bowen HUANG Weiting FANG Zhongming 《Rice science》 SCIE CAS CSCD 2026年第2期151-154,I0028-I0040,共4页
Synergistically improving the yield and grain quality of rice remains a major breeding challenge.Amino acid transporters play key roles in regulating plant growth and development,but their mechanisms in synergisticall... Synergistically improving the yield and grain quality of rice remains a major breeding challenge.Amino acid transporters play key roles in regulating plant growth and development,but their mechanisms in synergistically regulating yield and quality remain unclear.Here,we report that the plasma membrane-localized transporter OsAAP18,which is more highly expressed in indica than japonica rice,positively correlates with tiller number and yield but negatively with grain width.OsAAP18 transports eight amino acids,including asparagine(Asn),proline(Pro),leucine(Leu),and valine(Val).Its overexpression increases yield through enhanced tillering and grain number per panicle while also improving rice processing and cooking quality.Transcriptome analysis showed that OsAAP18 coordinates grain development and quality formation by regulating the expression of key genes involved in starch and sucrose metabolism,nitrogen metabolism,and plant hormone signaling pathways.These findings establish OsAAP18 as a dual-function regulator that synergistically enhances yield and quality,offering a promising target for rice breeding. 展开更多
关键词 plasma membrane localized transporter acid transporters nitrogen allocation transports eight amino acidsi OSAAP yield grain quality rice breeding
暂未订购 下载PDF
An allocation strategy integrated power,bandwidth,and subchannel in a RCC network 认领 引用
2
作者 Haowei Zhang Weijian Liu +4 位作者 Lin Zhang Youwei Meng Weihang Han Tao Song Rennong Yang 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第6期138-154,共17页
Owing to the portability,cheapness and flexible deployment,the unmanned aerial vehicle-based radar and communication coexistence(RCC)systems are widely adopted in Internet of Things applications.A joint power,bandwidt... Owing to the portability,cheapness and flexible deployment,the unmanned aerial vehicle-based radar and communication coexistence(RCC)systems are widely adopted in Internet of Things applications.A joint power,bandwidth,and subchannel allocation(JPBSA)strategy is proposed for a RCC network,aiming to optimize resource utilization under mutual spectrum interference.The Cram er-Rao lower bound(CRLB)is employed to assess the target localization accuracy.The optimization model is formulated as minimizing the sum of weighted predicted CRLBs while satisfying the communication data rate requirements and constraints of power and bandwidth budget.It is shown that the JPBSA problem falls into the mixed-integer programming problem.Even worse,the three variables are coherent in the objective function and constraints.A four-phase alternating optimization framework(FPAOF)is developed to address this issue.The FPAOF incorporates the joint convexification of radar and communication power allocation via Taylor approximation,bandwidth upper bound adaptation,and the opportunistic spectrum access-based method for subchannel allocation.Numerical evaluations demonstrate the proposed strategy's superiority in terms of localization accuracy improvement and computational tractability in comparison to state-of-the-art methods.The findings also indicate the superiority of using CRLB as the optimization metric than the signal-to-interference-plus-noise and mutual information. 展开更多
关键词 JRC system Resource allocation Convex optimization
暂未订购 下载PDF
Tree biomass allocation is governed by allometry but modulated by optimization 认领 引用
3
作者 Man Hu Hang Shi +4 位作者 Rui He Nana Wang Yuzhen Han Haishan Dang Quanfa Zhang 《Forest Ecosystems》 SCIE CAS CSCD 2026年第1期166-177,共12页
Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change.However,the extent to... Understanding the patterns and drivers of biomass allocation among organs at a broad scale is crucial for predicting the responses of plant growth and carbon sequestration to environmental change.However,the extent to which the general rules govern these patterns and the key factors affecting biomass allocation remain poorly understood.Using a global dataset of 239 tree species,we tested the two prevailing theories(i.e.,the allometric partitioning theory(APT)and the optimal partitioning theory(OPT))by investigating the scaling relationships between plant organs and how environmental factors and phylogeny shape the patterns of biomass allocation.Our results generally support APT at the global scale,with variations in biomass allocation patterns explained by OPT.As plant size increased,a significant shift in biomass allocation from leaves to roots and stems,as well as from roots to stems,was observed.Specific environmental factors(including temperature,precipitation variables,and soil properties)significantly influenced biomass allocation with distinct patterns in the angiosperms and gymnosperms,even when the allometric effects were taken into account.We conclude that tree biomass allocation among organs(i.e.,the ratios of leaf to stem,leaf to root,stem to root,and aboveground to belowground)is governed by allometry but modulated by optimization at the global scale.Our findings highlight the importance of considering both the ontogenetic and environmental effects in predicting the responses of biomass sequestration to phylogenetic and environmental factors. 展开更多
关键词 Biomass allocation Allometric partitioning theory Optimal partitioning theory(OPT) Scaling exponent Plant size Environmental factors
暂未订购 下载PDF
A dynamic function allocation method for single pilot operations in commercial aircraft based on Bayesian-enhanced Q-learning 认领 引用
4
作者 Yue LUO Yuting DAI +3 位作者 Miao WANG Lei WANG Ruiyuan HONG Guoqing WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期411-430,共20页
Human-machine collaboration is a key feature of Single Pilot Operations(SPO).With only a single pilot in the cockpit,workload monitoring and adjustment become even more critical compared to Dual-Pilot Operations(DPO).... Human-machine collaboration is a key feature of Single Pilot Operations(SPO).With only a single pilot in the cockpit,workload monitoring and adjustment become even more critical compared to Dual-Pilot Operations(DPO).Hence,a dynamic function allocation mechanism must be established—increasing the Level of Automation(LOA)under high workload conditions and reducing it under low workload conditions to maintain situational awareness.To address the challenges of excessive subjectivity and limited knowledge transfer in the existing dynamic function allocation methods,this paper proposes a dynamic function allocation method based on Bayesianenhanced Q-Learning(BQL).First,a Bayesian Network(BN)is constructed to predict HumanMachine System(HMS)performance,determining when reallocation should be triggered.Compared to the existing trigger mechanisms,this approach enables earlier activation while maintaining non-intrusive.Then,the BN-predicted HMS performance is integrated into the reward feedback for the reinforcement learning algorithm,allowing the system to continuously refine its strategy through interaction with the environment.Finally,flight experiments conducted in a low-fidelity SPO simulator,incorporating both objective physiological monitoring and subjective assessments,validate the effectiveness of the proposed method. 展开更多
关键词 Bayesian network Dynamic function allocation Human-machine system Reinforcement learning Single Pilot Operations(SPO)
暂未订购 下载PDF
Secure and robust resource allocation for UAV-assisted anti-jamming spectrum sharing under uncertain jamming in airborne maneuvering networks 认领 引用
5
作者 Rui DING Haotian QUAN +1 位作者 Zhijie ZENG Fuhui ZHOU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期111-121,共11页
Airborne Maneuvering Network(AMN)has attracted great attention in diverse practical scenarios.Low-altitude maneuvering UAV plays as the operational backbone of AMN to promote the development of an efficient,secure,and... Airborne Maneuvering Network(AMN)has attracted great attention in diverse practical scenarios.Low-altitude maneuvering UAV plays as the operational backbone of AMN to promote the development of an efficient,secure,and low-latency AMN by providing new airborne wireless nerve tracts.However,the widespread adoption of AMNs witnesses a drastic increase of mobile users and data-intensive applications,which makes it suffer from the intense spectrum competition.Spectrum sharing shows promise in alleviating the severe spectrum scarcity of AMNs.Moreover,due to the broadcast nature of wireless channels and the increasing probability of the line-of-sight transmission,the AMN is vulnerable to malicious jamming,especially encountering the coupled uncertainty and dynamic jamming.To solve these problems,UAV-assisted antijamming spectrum sharing in AMNs is investigated.We propose a joint space-power-frequency domain optimization approach to simultaneously mitigate both external malicious jamming and internal sharing interference.The sum rate maximization of the secondary network is studied by jointly optimizing the UAV transmit power,sub-band allocation,and trajectory.To tackle the formulated intractable non-convex problem,we propose a computationally efficient iterative algorithm based on alternating optimization,integrating the S-procedure to handle bounded uncertainties and the successive convex approximation to obtain near-optimal convex solutions.Extensive simulation results show that our proposed scheme can significantly increase the sum transmission rate.Moreover,it is shown that our proposed scheme is the best robust among all benchmark schemes against jammer location and power uncertainties,confirming the practicality for the next-generation UAV based airborne networks. 展开更多
关键词 Airborne maneuvering networks Anti-jamming Resource allocation Spectrum management UAV communication
暂未订购 下载PDF
Heterogeneous resource allocation with latency guarantee for computing power network 认领 引用
6
作者 Ailing Zhong Dapeng Wu +1 位作者 Boran Yang Ruyan Wang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期25-37,共13页
Computing Power Network(CPN)is a new paradigm that integrates communication,computing,and storage resources to provide services for tasks.However,tasks composed of non-independent subtasks have a preference for the re... Computing Power Network(CPN)is a new paradigm that integrates communication,computing,and storage resources to provide services for tasks.However,tasks composed of non-independent subtasks have a preference for the resources required at each stage,which increases the difficulty of heterogeneous resource allocation and reduces the latency performance of CPN services.Motivated by this,this paper jointly optimizes the full-service cycle of tasks,including transmission,task partitioning,and offloading.First,the transmission bandwidth is dynamically configured based on delay sensitivity of tasks.Second,with the real-time information from edge resource clusters and state resource clusters in the network,the optimal partitioning for a computation task is derived.Third,personalized resource allocation schemes are customized for computation and storage tasks respectively.Finally,the impact of resource parameter configuration on the latency violation probability of CPN is revealed.Moreover,compared with the benchmark schemes,our proposed scheme reduces the network latency violation probability by up to 1.17×in the same network setting. 展开更多
关键词 Latency violation probability Subtask dependencies Resource allocation Computing power network
暂未订购 下载PDF
A multi-location inventory system with occasional allocation underuncertain defective rates 认领 引用
7
作者 Ligang Cui Zuguo Peng +1 位作者 Yingcong Chen Wenjing Xie 《Data Science and Management》 EI CSCD 2026年第1期56-67,共12页
In this study, a multi-location allocation problem is investigated under a temporary allocation system in light ofthe uncertain defective rate inherent to items. Based on the theoretical and modeling foundation of pre... In this study, a multi-location allocation problem is investigated under a temporary allocation system in light ofthe uncertain defective rate inherent to items. Based on the theoretical and modeling foundation of previousresearch, this study contributes in four main aspects. First, a robust optimization model is developed based on thebudget uncertainty of the defective rate of items in a multi-location inventory system. Second, given that thedetermination of uncertainty relies on the subjective judgment of decision-makers with different risk preferences,a pivotal variable method is introduced to approximate the possible thresholds of the uncertain parameter withinthe expected interval. Third, a new evaluation criterion curve, illustrating the cumulative cost differences betweenthe probabilistic and robust models, is employed through large-scale sampling to evaluate the performance of thetwo decision models. Finally, numerical experiments and sensitivity analysis are conducted to verify the performanceof the decision effects under different defective rates and stockout costs, respectively. The resultsconfirm the superior performance of the robust model, as shown through sensitivity analysis under thresholds ofvarying defective rates and stockout costs, and highlight the effectiveness of the proposed cumulative cost differenceevaluation curve. The robust model offers significant cost-control advantages over the probabilistic model,particularly in high-uncertainty scenarios. This study provides a reference method for multi-location inventoryallocation decisions with uncertain defective rates. 展开更多
关键词 Defective rate uncertainty Inventory allocation Uncertainty parameter Criterion
暂未订购 下载PDF
Two-stage two-dimensional force allocation strategy for tunnel boring machines based on a region-reconfigurable thrust system 认领 引用
8
作者 Zhe ZHENG Kaihao ZHU +7 位作者 Jiaqi HOU Haibo XIE Lijie JIANG Fulong LIN Lianhui JIA Laikuang LIN Huayong YANG Dong HAN 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2026年第6期583-597,I0035-I0042,共15页
Determining the group forces of the thrust system is essential for trajectory control of tunnel boring machines(TBMs).Existing methods for selecting an optimal solution mainly consider the force variance among groups,... Determining the group forces of the thrust system is essential for trajectory control of tunnel boring machines(TBMs).Existing methods for selecting an optimal solution mainly consider the force variance among groups,while ignoring other constraints,such as uneven segment loading and excessive hydraulic shock.In this study,we develop a more comprehensive and robust framework for force allocation.First,a novel region-reconfigurable hydraulic system is designed,which enforces consistency among the forces acting on each segment.Then on this basis,for the ramping-up tunneling stage,quadratic programming(QP)is used to optimize force uniformity across the spatial dimension.Compared to the on-site allocation result,the improvement in force uniformity reaches up to 32.89%.Moreover,to address the hydraulic shock caused by excessive adjustment to the force,hydraulic compliance is introduced and optimized together with force uniformity using the non-dominated sorting genetic algorithm II(NSGA-II),which outperforms weighted QP by 1.25×106 kN2 in uniformity and 2.86 kN2 in compliance.Analyzing performance in the steady tunneling stage,the service life of the components improves significantly.To avoid a non-existent solution for the thrust force vector,a genetic algorithm-based error tolerance method is developed.Therefore,all deviation rectification commands can be answered with a minor compromise of up to 3%in the fitting accuracy of the thrust force vector.In summary,this framework enhances the adaptability and robustness of the force allocation strategy,providing a reliable foundation for TBM trajectory control. 展开更多
关键词 Tunnel boring machine(TBM) Thrust system Thrust force vector Force allocation Quadratic programming(QP) Non-dominated sorting genetic algorithm II(NSGA-II)
暂未订购 下载PDF
Is intra-household nutrient allocation equitable?Evidence from asymmetric expenditure responses in rural China 认领 引用
9
作者 Yang Gao Zhihao Zheng Ning Li 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第7期3074-3085,共12页
To analyze intra-household nutrient allocation,we examine the differences in expenditure elasticities across demographic groups within rural households,employing an asymmetric model along with data from the China Heal... To analyze intra-household nutrient allocation,we examine the differences in expenditure elasticities across demographic groups within rural households,employing an asymmetric model along with data from the China Health and Nutrition Survey(CHNS)from 2004 to 2011.Our analysis reveals significant heterogeneity in household nutrient allocation:during periods of expenditure expansion,households prioritize the nutritional intake of vulnerable members,specifically children and the elderly,often at the expense of prime-age adults,particularly women.Conversely,during expenditure contraction,households shift strategies to protect the nutritional intake of prime-age adults.This asymmetry underscores the complexity of intra-household distribution and provides critical insights for designing nutrition security policies that account for economic volatility. 展开更多
关键词 intra-household nutrient allocation asymmetric model diet variety nutrient adequacy ratio rural China
暂未订购 下载PDF
Nitrogen and phosphorus allocation strategy among dominant species'major organs in desert grassland 认领 引用
10
作者 JianNan Lu XueYong Zhao YuQiang Li 《Research in Cold and Arid Regions》 CAS CSCD 2026年第2期159-166,共8页
Allometric allocation of limiting nutrient elements at the organ level is a crucial strategy for plants to adapt to environmental changes.However,our understanding of intra-and inter-organ allocation patterns of nitro... Allometric allocation of limiting nutrient elements at the organ level is a crucial strategy for plants to adapt to environmental changes.However,our understanding of intra-and inter-organ allocation patterns of nitrogen(N)and phosphorus(P)in desert grassland plants remains limited.A one-year pot experiment(June 2020 to August2021)was conducted to investigate the N–P allometric scaling relationships within and between plant organs of dominant shrubs and herbaceous species cultivated in two soil types:desert eolian sand soil(DESS)and brown calcic soil(BCS).The results indicated that,overall,the leaves of both shrubs and herbaceous plants exhibited higher N and P contents compared to other plant organs.Notably,under BCS conditions,fine roots of Ammopiptanthus mongolicus exhibited higher P content than leaves.For shrubs,N content in leaves changes faster than P content,while in other organs,P content increased faster than N content.The N–P allometric exponents for herbaceous leaves and roots were 0.47 and 0.56,respectively.Additionally,N and P contents in shrub leaves and fine roots were linearly positively correlated with soil total N and P contents.Generally,changes in soil type from DESS to BCS did not alter the N–P allometric scaling relationships within specific plant organs but did affect the N and P allocation in shrub fine roots.These findings enhance our understanding of N and P allocation strategies within and between major organs of desert plants. 展开更多
关键词 Nitrogen and phosphorus Allometric allocation Soil conditions Desert grassland
暂未订购 下载PDF
Powering High-Quality Development:High-End Manufacturing,Human Capital Allocation,and Economic Growth 认领 引用
11
作者 Zhu Lan Wu Ziwei Wang Yong 《中国经济学人（中英文）》 2026年第1期33-53,共21页
By comparing the growth trajectories of East Asia and Latin America,this study finds that during industrialization,East Asian economies actively advanced their manufacturing sectors toward high-end production and achi... By comparing the growth trajectories of East Asia and Latin America,this study finds that during industrialization,East Asian economies actively advanced their manufacturing sectors toward high-end production and achieved a higher relative density of high-skilled labor within this sector.In contrast,Latin American economies experienced a“low-end lock-in”in manufacturing,with high-skilled labor more heavily concentrated in the service sector.To provide a unified explanation of these patterns of industrial transformation and labor allocation,this paper develops a three-sector general equilibrium model that includes basic manufacturing(BM),high-end manufacturing(HM),and services,and incorporates labor heterogeneity.The model captures how,under different development thresholds for HM,the allocation of high-skilled labor across sectors leads to two distinct structural transformation paths:from BM to HM,or from BM to services.These paths,in turn,generate different trajectories of human capital accumulation and economic growth performance.Simulation analysis shows that dynamically adjusted industrial policies are more effective than static ones,and that combining education policy with industrial policy yields better outcomes than either policy alone.This study extends theoretical research on industrial structural transformation,highlights the importance of HM for latecomer economies,and offers theoretical underpinnings and decision-making insights for advancing new industrialization and deepening integration between industrial and talent chains. 展开更多
关键词 high-end manufacturing human capital allocation industrial structural transformation proactive government
暂未订购 下载PDF
A Stochastic Multi-Objective Framework for Wind DG Allocation and Dynamic Reconfiguration:Minimizing Losses and Enhancing Reliability with an Improved Grey Wolf Optimizer 认领 引用
12
作者 Ali S.Alghamdi 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期704-744,共41页
The integration of wind-based DG introduces significant variability and uncertainty into the operation of distribution networks,which complicates the planning and decision-making process.This paper presents a dualobje... The integration of wind-based DG introduces significant variability and uncertainty into the operation of distribution networks,which complicates the planning and decision-making process.This paper presents a dualobjective stochastic optimization framework for the optimal allocation of wind DG,considering dynamic network reconfiguration across multiple loading conditions.Probabilistic modeling of wind speed is integrated using the Weibull distribution and the associated wind power uncertainty is discretized through a scenario-based point estimation method.Variability in load is accounted for by considering multiple loading levels,and the integrated uncertainty space is constructed as the Cartesian product of wind scenarios and load profiles.The optimization seeks to minimize the total energy losses together with the enhancement of reliability,quantified through the expected energy not supplied.For the solution of the complex,nonlinear,multi-objective problem,the Improved Multi-Objective Grey Wolf Optimizer(I-MGWO)is developed,including quasi-oppositional population seeding,adaptive stochastic coeficient strategy,and dynamic convex combination position update.Simulation results on the IEEE 33-bus system demonstrate that the proposed integrated strategy of simultaneous wind DG allocation and network reconfiguration gives synergistic improvements,yielding up to 55.7%reduction in energy losses,and a reduction of up to 61.4%in EENS over the base case.In both convergence speed and solution quality,I-MGWO consistently outperforms conventional algorithms and gives a robust and computationally efficient tool for distribution system planning under uncertainty. 展开更多
关键词 Wind power generation distributed generation allocation active distribution network network reconfiguration uncertainty modeling stochastic optimization multi-objective optimization reliability assessment Grey Wolf Optimizer
暂未订购 下载PDF
Research on Typification of Data Generation Methods and Data Rights Allocation 认领 引用
13
作者 Wu Cuidan 《Contemporary Social Sciences》 2026年第4期67-85,共19页
The structured allocation of data rights requires a typification of data as a prerequisite.The existing tripartite framework comprising personal,corporate,and public data fails to adequately address the factual state ... The structured allocation of data rights requires a typification of data as a prerequisite.The existing tripartite framework comprising personal,corporate,and public data fails to adequately address the factual state of dynamic data generation and multi-party collaboration owing to its mixed application of criteria,such as source,subject,and function.Using generation methods as a classification criterion aligns with the essential nature of data as a procedural product.Based on differences in the structure of inter-subject collaboration,generation methods can be classified into four categories:independent generation,joint generation,collaborative generation,and integrated generation.Type identification should be based on three verifiable factual elements—control structure,contribution type,and risk bearing—and should proceed step by step through the generation process.Based on this framework,a three-tiered rights allocation system is established.At the carrier level,the right of possession is defined based on factual control and process traceability.At the value level,the rights of use and operation are flexibly allocated according to the nature and extent of actual contributions to achieve a dynamic alignment between powers and value creation.At the ethical level,personality protection,data security,and fair utilization obligations are transformed into defensive powers,thereby establishing a pre-constraint on the exercise of rights.Therefore,observable and verifiable facts arising during the generation process can be transformed into a normative basis for the allocation of data rights,thereby helping to enhance the effectiveness of judicial adjudication and administrative supervision. 展开更多
关键词 data generation methods typification rights allocation three-tiered rights allocation
暂未订购 下载PDF
Institutional Mechanism Analysis of the Standardization of Interdepartmental Budget Fund Allocation Under Fiscal Digitization 认领 引用
14
作者 Penglu Deng 《Proceedings of Business and Economic Studies》 2026年第1期69-74,共6页
Against the backdrop of advancing fiscal digitization,budget management methods and fiscal operation logic are undergoing changes.Existing studies mostly discuss the effectiveness of digital fiscal reforms from the pe... Against the backdrop of advancing fiscal digitization,budget management methods and fiscal operation logic are undergoing changes.Existing studies mostly discuss the effectiveness of digital fiscal reforms from the perspective of technological application or efficiency improvement,but pay relatively insufficient attention to how it affects the standardization of interdepartmental budget fund allocation.Based on this,taking the integrated budget management reform as the entry point,this paper explores the action path of fiscal digitization on the standardization of interdepartmental budget fund allocation from two levels:institutional foundation and operational mechanism.The study holds that fiscal digitization does not directly determine the allocation result of budget funds among departments,but changes the institutional environment relied on by budget allocation behavior by unifying budget rules,connecting budget management processes,and reconstructing budget information structure,thereby forming more stable and enforceable institutional constraints on departmental budget allocation.On this basis,fiscal digitization further exerts institutional constraints during the budget execution stage by embedding supervision and auditing functions into the budget execution process and improving the transparency of budget operation,inhibiting arbitrariness and strategic adjustments in interdepartmental budget allocation.Thus,the standardization of interdepartmental budget fund allocation is gradually strengthened,and the improvement of allocation efficiency is more reflected as a natural result under standardized constraints.The analysis of this paper helps to understand the governance effect of fiscal digitization from the perspective of institutional operation and provides theoretical reference for further improving the interdepartmental budget fund allocation mechanism. 展开更多
关键词 Fiscal digitization Integrated budget management Interdepartmental budget fund allocation Standardization of budget allocation Fiscal governance
暂未订购 下载PDF
Intra-Independent Distributed Resource Allocation Game 认领 引用 被引量：1
15
作者 Jialing Zhou Guanghui Wen +2 位作者 Yuezu Lv Tao Yang Guanrong Chen 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第10期2150-2152,共3页
Dear Editor,This letter deals with distributed resource allocation(DRA)over multiple interacting coalitions,where conflicts of interest may arise due to the relevance of one coalition’s decision to other coalitions’... Dear Editor,This letter deals with distributed resource allocation(DRA)over multiple interacting coalitions,where conflicts of interest may arise due to the relevance of one coalition’s decision to other coalitions’benefits.To address this challenge,a new model called intra-independent resource allocation game(IIRAG)is formulated under the framework of multi-coalition games.A new DRA algorithm is developed,which draws on techniques of variable replacement and leaderfollowing consensus.The proposed algorithm ensures linear convergence of the collective decision to the Nash equilibrium(NE)of the IIRAG,as well as satisfaction of the resource constraint throughout the iteration process.Numerical simulations validate the effectiveness of the proposed approach. 展开更多
关键词 distributed resource allocation multi coalition games variable replacement leader following consensus distributed resource allocation dra Nash equilibrium conflicts interest intra independent resource allocation game
暂未订购 下载PDF
A novel digital cousin based intelligent resource allocation scheme for secure low-altitude UAV spectrum sharing in AMN 认领 引用
16
作者 Zhijie ZENG Rui DING +3 位作者 Yuhang WU Yihe DIAO Fuhui ZHOU Qihui WU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期122-131,共10页
The Airborne Maneuvering Network(AMN)is becoming an emerging field due to its wide-area coverage and localized service enhancement characteristics,in which Low-altitude Unmanned Aerial Vehicles(LUAVs)interact directly... The Airborne Maneuvering Network(AMN)is becoming an emerging field due to its wide-area coverage and localized service enhancement characteristics,in which Low-altitude Unmanned Aerial Vehicles(LUAVs)interact directly with ground-based devices after receiving commands from upper layers.However,the exponential increase in communication devices has led to a severe scarcity of spectrum for LUAVs.Furthermore,LUAVs communications are highly susceptible to interception by Eavesdroppers(Eves)due to the open characteristic of the wireless environment.Therefore,a secure spectrum sharing at LUAVs layer in AMN is studied.Moreover,to address the issue that the dynamic and heterogeneous characteristic of wireless environments presents significant challenges for resource allocation,a Digital Cousin based Q-learning(DCQ)method is proposed.Specifically,the original Probability Transition Matrix(PTM)obtained from sampling in the environment is transformed using the co-link method to obtain multiple virtual environments.Multiple agents are trained in parallel in multiple environments and the training results are fused to obtain the final Q function to output the policy of the original environment.The simulation results demonstrate that the proposed scheme can achieve more robust policies and faster convergence compared to conventional Deep Reinforcement Learning(DRL)methods. 展开更多
关键词 Digital cousin Eavesdropping LUAVs Spectrum sharing Resource allocation
暂未订购 下载PDF
Intelligent Resource Allocation for Multiaccess Edge Computing in 5G Ultra-Dense Slicing Network Using Federated Multiagent DDPG Algorithm 认领 引用
17
作者 Gong Yu Gong Pengwei +3 位作者 Jiang He Xie Wen Wang Chenxi Xu Peijun 《China Communications》 SCIE EI CSCD 2026年第1期273-289,共17页
Nowadays,advances in communication technology and cloud computing have spawned a variety of smart mobile devices,which will generate a great amount of computing-intensive businesses,and require corresponding resources... Nowadays,advances in communication technology and cloud computing have spawned a variety of smart mobile devices,which will generate a great amount of computing-intensive businesses,and require corresponding resources of computation and communication.Multiaccess edge computing(MEC)can offload computing-intensive tasks to the nearby edge servers,which alleviates the pressure of devices.Ultra-dense network(UDN)can provide effective spectrum resources by deploying a large number of micro base stations.Furthermore,network slicing can support various applications in different communication scenarios.Therefore,this paper integrates the ultra-dense network slicing and the MEC technology,and introduces a hybrid computing offloading strategy in order to satisfy various quality of service(QoS)of edge devices.In order to dynamically allocate limited resources,the above problem is formulated as multiagent distributed deep reinforcement learning(DRL),which will achieve low overhead computation offloading strategy and real-time resource allocation decisions.In this context,federated learning is added to train DRL agents in a distributed manner,where each agent is dedicated to exploring actions composed of offloading decisions and allocating resources,so as to jointly optimize system delay and energy consumption.Simulation results show that the proposed learning algorithm has better performance compared with other strategies in literature. 展开更多
关键词 federated learning multiaccess edge computing mutiagent deep reinforcement learning resource allocation ultra-dense slicing network
暂未订购 下载PDF
Energy-Efficient Network Deployment and Resource Allocation in IAB Aerial-Terrestrial Network 认领 引用
18
作者 Wang Wei Sheng Min +2 位作者 Chen Xuhui Liu Junyu Li Jiandong 《China Communications》 SCIE EI CSCD 2026年第3期330-347,共18页
This paper aims to improve energy efficiency(EE)of the integrated access and backhaul(IAB)aerial-terrestrial network,facilitating rapid and adjustable network infrastructure deployment.This is challenging,as interfere... This paper aims to improve energy efficiency(EE)of the integrated access and backhaul(IAB)aerial-terrestrial network,facilitating rapid and adjustable network infrastructure deployment.This is challenging,as interference generated by backhaul and access links degrades network throughput,and power imbalance between these links increases overall energy consumption.To this end,we jointly optimize aerial base station(ABS)deployment,user association,and downlink power allocation for both terrestrial base station and ABSs to maximize network EE.Specifically,using fractional programming,the EE maximization problem is transformed into a subtractive-form parametric problem,and then decomposed into ABS deployment and resource allocation subproblems.A hybrid algorithm combining particle swarm optimization and simulated annealing is proposed to solve the ABS deployment subproblem,determining ABS spatial configurations and updating power allocation given fixed user association.Meanwhile,a dynamic power allocation in response to network load is designed to solve the resource allocation subproblem.Furthermore,considering the quality of service requirements of ground users and the transmit power constraints of base stations,a joint EE optimization algorithm is proposed to enhance the network EE.Simulation results validate the effectiveness of the proposed methods in improving network EE,especially in scenarios involving more deployed ABSs. 展开更多
关键词 aerial-terrestrial network energy efficiency integrated access and backhaul(IAB) network deployment resource allocation
暂未订购 下载PDF
MWaOA:A Bio-Inspired Metaheuristic Algorithm for Resource Allocation in Internet of Things 认领 引用
19
作者 Rekha Phadke Abdul Lateef Haroon Phulara Shaik +3 位作者 Dayanidhi Mohapatra Doaa Sami Khafaga Eman Abdullah Aldakheel N.Sathyanarayana 《Computers, Materials & Continua》 SCIE EI 2026年第2期1285-1310,共26页
Recently,the Internet of Things(IoT)technology has been utilized in a wide range of services and applications which significantly transforms digital ecosystems through seamless interconnectivity between various smart ... Recently,the Internet of Things(IoT)technology has been utilized in a wide range of services and applications which significantly transforms digital ecosystems through seamless interconnectivity between various smart devices.Furthermore,the IoT plays a key role in multiple domains,including industrial automation,smart homes,and intelligent transportation systems.However,an increasing number of connected devices presents significant challenges related to efficient resource allocation and system responsiveness.To address these issue,this research proposes a Modified Walrus Optimization Algorithm(MWaOA)for effective resource management in smart IoT systems.In the proposed MWaOA,a crowding process is incorporated to maintain diversity and avoid premature convergence thereby enhancing the global search capability.During resource allocation,the MWaOA prevents early convergence,which aids in achieving a better balance between the exploration and exploitation phases during optimization.Empirical evaluations show that the MWaOA reduces energy consumption by approximately 4% to 34%and minimizes the response time by 6% to 33% across different service arrival rates.Compared to traditional optimization algorithms,MWaOA reduces energy consumption by 5% to 30%and minimizes the response time by 4% to 28% across different simulation epochs.The proposed MWaOA provides adaptive and robust resource allocation,thereby minimizing transmission cost while considering network constraints and real-time performance parameters. 展开更多
关键词 Delay gateway internet of things resource allocation resource management walrus optimization algorithm
暂未订购 下载PDF
Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm 认领 引用
20
作者 Wu Zheng Ting Tang +1 位作者 Xianggang He Jierui Yang 《Global Energy Interconnection》 EI CSCD 2026年第3期555-566,共12页
With the integration of clean energy,the increasing penetration of distributed power sources,controllable loads,and energy-storage resources in smart grids is causing substantial difficulties in the safe,stable,and co... With the integration of clean energy,the increasing penetration of distributed power sources,controllable loads,and energy-storage resources in smart grids is causing substantial difficulties in the safe,stable,and cost-effective operation of power systems.Existing research often fails to consider the interconnections among optimal dispatching and the distribution capacities of wind,solar,and energy-storage systems(ESSs).This increases the costs and dispatching difficulties.In response to this situation,a two-stage capacity-allocation approach for wind and solar power and storage in an active distribution network(ADN)is proposed in this paper.This approach is founded based on the whale migration algorithm(WMA).First,an optimization dispatch model that considers controllable loads and energy storage is formulated to minimize the dispatch operation costs of the ADN.In this optimization model,the overall cost of the ADN is taken as the objective function.The optimal configuration for wind–solar–storage capacities is obtained through the WMA.Simulation results confirm that the WMA effectively balances the solution accuracy and computational efficiency,while the proposed scheme enhances the economic performance of active distribution grids. 展开更多
关键词 Active distribution network(ADN) Optimization dispatching Capacity allocation Two-stage Whale migration algorithm(WMA)
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 … 114 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈