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981
HiCoACR: A reconfiguration decision-making model for reconfigurable security protocol based on hierarchically collaborative ant colony
Published 2020-03-01“…Reconfigurable security protocols, with dynamic protocol configuration and flexible resource allocation, have become a state-of-the-art technology to guarantee the security of space-ground integrated network. …”
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982
Dynamic Sensor-Based Data Management Optimization Strategy of Edge Artificial Intelligence Model for Intelligent Transportation System
Published 2025-03-01“…It aims to solve resource allocation optimization and improve operational efficiency in edge computing environments. …”
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983
FedMEM: Adaptive Personalized Federated Learning Framework for Heterogeneous Mobile Edge Environments
Published 2025-04-01“…This framework enhances the resource allocation optimization algorithm by dynamically adjusting the depth of model inference and the bandwidth allocation strategy, which assists devices with limited computational capabilities in completing inference tasks promptly. …”
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984
Dynamic Scheduling Model of Bike-Sharing considering Invalid Demand
Published 2020-01-01“…System resources allocation optimization through dynamic scheduling is key to improving the service level of bike-sharing. …”
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985
AnimalMotionViz: An interactive software tool for tracking and visualizing animal motion patterns using computer vision
Published 2025-05-01“…It implements a set of background subtraction algorithms in the OpenCV package to track animal motion patterns in real time. …”
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986
Optimization of Operation Strategy of Multi-Islanding Microgrid Based on Double-Layer Objective
Published 2024-09-01“…The simulation results show that shared energy storage can optimize the allocation of multi-party resources by flexibly adjusting the control mode, improving the efficiency of resource utilization while improving the consumption of renewable energy, meeting the power demand of all parties, and realizing the sharing of energy storage resources. …”
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987
Fast fault diagnosis of smart grid equipment based on deep neural network model based on knowledge graph.
Published 2025-01-01“…It can not only meet the demand of users and realize the optimal allocation of resources, but also improve the safety, economy and reliability of power supply, it has become a major trend in the future development of electric power industry. …”
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988
Spatial Multi-objective Optimization of Land Use of Kashgar Area Based on NSGA-Ⅱ and GeoSOS-FLUS
Published 2022-08-01“…[Conclusion] The six land use types were distributed in the landscape in a balanced manner, and the land use type of grassland transition was increased. The optimized land resources can better meet the ecological sustainable development goals, and their layout was more reasonable, providing auxiliary decision-making services for the future allocation of land resources in Kashgar area.…”
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989
Processing streams in a monitoring cloud cluster
Published 2020-01-01“…This requires to study the methodological possibilities of organization to study of parallel processing high-speed streaming services with the processing of huge amounts of bit data, and, simultaneously, to estimate the necessary computational resource. In the conditions of high dynamics of changes in the bit rate of information generation from the source, a model of the bit rate of Discretized Stream (DStream) formation is proposed, which has a common application. …”
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990
User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network
Published 2020-07-01“…In order to address the unfair user-centric energy efficiency (EE) problem caused by channel difference in the backscatter-assisted wireless powered communication network,a resource allocation scheme was proposed.Firstly,a mixed integer nonconvex fractional programming problem was formulated to maximize the minimum user-centric EE,subject to the quality of service and energy-causality constraints.Based on the generalized fractional programming theory,the original problem was transformed into a mixed integer nonconvex subtraction problem.With the aid of the slack variable,the proof by contradiction,the auxiliary variable and the mixed integer nonconvex subtraction problem were further transformed into an equivalent convex problem.Finally,an iterative algorithm was proposed to obtain the optimal solutions.Computer simulations validated the quick convergence of the proposed iterative algorithm,and that the developed resource allocation scheme efficiently guarantees the fairness among users in terms of EE.…”
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991
Premier Dynamic Bandwidth Management and Tensile Wavelength Selection Ensuring QoS for NG-EPONs
Published 2025-01-01“…Comparative analysis reveals that TW-DBA outperforms existing algorithms like Flexible Wavelength (FW), First-Fit, and Water Filled, both in computational efficiency and resource allocation. …”
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992
Modeling Relief Demands in an Emergency Supply Chain System under Large-Scale Disasters Based on a Queuing Network
Published 2014-01-01“…This emergency system is modeled as a minimal queuing response time model of location and allocation. A solution to this complex mathematical problem is developed based on genetic algorithm. …”
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993
Optimizing Locations of Primary Schools in Rural Areas of China
Published 2021-01-01“…Scientific location selection of schools is an important way to optimize the allocation of educational resources, improve the efficiency of operating schools, and realize the balanced development of education, especially in rural areas. …”
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994
Trade-off of cognition and semantic communication for UAV-IRS enhanced intelligent networks
Published 2025-08-01“…To improve the efficiency of semantic transmission and optimize the resource allocation between cognition and communication, this paper proposes a joint optimization framework tailored for semantic-aware communication. …”
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995
Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks
Published 2022-01-01“…This paper proposes a two-hop communication protocol with a dynamic resource allocation strategy to investigate the possibility of bandwidth allocation from a limited network resource to the maximum number of clients participating in FL. …”
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996
ISCCO: a deep learning feature extraction-based strategy framework for dynamic minimization of supply chain transportation cost losses
Published 2024-12-01“…Additionally, ISCCO optimized goods allocation using a genetic algorithm enhanced integer linear programming model. …”
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997
Dynamic Adaptation for Independent Task Scheduling Using Dynamic Programming in Multiprocessor Systems
Published 2025-03-01“…Efficient scheduling requires optimizing competing objectives, such as minimizing makespan and maximizing processor utilization, to ensure that resources are used effectively. In this work, we propose DYnamic Task Allocation using dynamic programminG (DyTAg), a task scheduling algorithm based on dynamic programming, designed to support dynamic adaptation in HCS. …”
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998
Hydropneumatic storage methodology towards a new era of hybrid energy system's efficiency and flexibility
Published 2024-12-01“…The optimization of hybrid systems through Solver and Python algorithms with various objective functions enables optimal design choices tailored to specific needs such as drinking water supply, irrigation, or industrial processes. …”
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999
Study on Optimal Decision of Unit Commitment with Flexible Reserve Participation in Power Grid
Published 2023-06-01“…Secondly, a unit combination model considering the flexible reserve is established with the objective function of minimizing the total operating cost of the system, and the optimization algorithm program is written in the Lingo environment to optimize a variety of reserve resources. …”
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1000
An Efficient Evolutionary Task Scheduling/Binding Framework for Reconfigurable Systems
Published 2016-01-01“…An efficient reconfigurable platform is implemented along with novel placement/scheduling algorithms. The proposed algorithms tend to reuse hardware tasks to reduce reconfiguration overhead, migrate tasks between software and hardware to efficiently utilize resources, and reduce computation time. …”
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