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601
Characteristic columnar connectivity caters to cortical computation: Replication, simulation, and evaluation of a microcircuit model
Published 2022-10-01“…Our analysis confirms the key original finding that the specific, data-based connectivity structure enhances the computational performance compared to a variety of alternatively structured control circuits. …”
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602
Redox-based ion-gating reservoir consisting of (104) oriented LiCoO2 film, assisted by physical masking
Published 2023-11-01“…Here, in order to enhance the computation performance of redox-IGRs, we developed a redox-based IGR using a (104) oriented LiCoO2 thin film with high electronic and ionic conductivity as a trap-free channel material. …”
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603
ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform
Published 2018-03-01“…Overall, ZenLDA could achieve comparable and even better computing performance with state-of-the-art dedicated systems.…”
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604
An Asymmetric Collision-Free Optimal Trajectory Planning Method for Three DOF Industrial Robotic Arms
Published 2023-05-01“…Second, the control vector parameterization (CVP) was improved to enhance the computational performance of the problem. The discrete grid was adaptively adjusted according the trend of control variables. …”
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605
A mass- and energy-conserving framework for using machine learning to speed computations: a photochemistry example
Published 2020-09-01“…Some of these modules require the vast majority of the computer resources consumed by the entire model, so increasing their computational efficiency can either improve the model's computational performance, enable more realistic physical or chemical representations in the module, or a combination of these two. …”
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606
FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images
Published 2024-12-01“…Firstly, we utilize FasterNet as the backbone network to reduce computational redundancy, enhancing feature extraction efficiency and overall computational performance. Additionally, we employ the Feature Bi-level Routing Transformation model (FBM) to obtain global feature information and enhance focus on target regions. …”
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607
A Mixed-Integer and Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem
Published 2020-09-01“…We provide convergence analysis of our proposal and assess its computational performance on a testbed consisting of 54 problems from a 46-bus system. …”
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608
A Novel Algorithm for Multi-Criteria Ontology Merging through Iterative Update of RDF Graph
Published 2024-02-01“…The proposed algorithm is tested with five ontologies of different computing domains and evaluated in terms of its asymptotic behavior, quality and computational performance. The experimental results indicate that the proposed algorithm produces output ontologies that meet the integrity, accuracy and cohesion quality criteria better than related studies. …”
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609
Deep reinforcement learning based offloading decision algorithm for vehicular edge computing
Published 2022-10-01“…Efficient offloading decision can not only meet the requirements of complex vehicle tasks in terms of time, energy consumption and computing performance, but also reduce the competition and consumption of network resources. …”
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610
Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case
Published 2022-08-01“…However, precise and rapid air quality simulations and forecast are frequently limited by the model’s computational performance. The gas-phase chemistry module is the most time-consuming module in air quality models because its traditional solution method is dynamically stiff. …”
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611
Hydrogen Station Location Planning via Geodesign in Connecticut: Comparing Optimization Models and Structured Stakeholder Collaboration
Published 2021-11-01“…The geodesign platform, which was designed specifically for facility location problems, enables breakout groups to add or delete stations with a simple point-and-click operation, view and overlay different map layers, compute performance metrics, and compare their designs to those of other groups. …”
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612
An Equivalent Frame Digital Twin for the Seismic Monitoring of Historic Structures: A Case Study on the Consoli Palace in Gubbio, Italy
Published 2023-07-01“…Recent advances in computing performance and simulation tools allow today the development of high-fidelity computational models which accurately reproduce the structural behavor of existing structures. …”
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613
Automotive ethernet controller authentication method based on national cryptographic algorithms
Published 2022-12-01“…With the development of intelligent and connected cars, cyber security of automotive ethernet becomes the focus of automotive industry.Authentication is one of the key technologies for automotive ethernet security.The existing authentication methods have shortcomings to meet the requirements of both safety and electronic controllers’ performance.Besides, national cryptographic algorithms are becoming a trend for automotive network security, while the related research in automotive ethernet area is still in starting phase.In order to balance the limited computing performance of electronic controllers and high security requirements of automotive ethernet, a two-stage trust chain authentication method based on national cryptographic algorithms was proposed.The method can be used in different automotive ethernet topologies.A trust chain was built up based on authentication credentials, which linked the two authentication stages, namely the initial stage and the vehicle using stage.The initial stage was triggered by diagnosis instrument at end of line or controller replacement.It deployed complete authentication based on SM2 algorithm and certificates in the initial stage.The vehicle using stage was triggered by ethernet gateway at vehicle power-on or network wakeup.In this stage, the method deployed fast authentication based on SM4 algorithm and authentication credential trust chain.The authentication credentials for trust chain were generated by credential functions.In order to ensure security, each credential was generated based on last successful authentication parameters dynamically.The test results on automotive ethernet controllers show that the method has lower computing cost and higher security level, and it can guarantee both performance and security.…”
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614
Quantum–classical co-simulation for smart grids: a proof-of-concept study on feasibility and obstacles
Published 2023-10-01“…However, in large-scale simulation scenarios, such as those involving costly power-flow analysis, co-simulation may experience computational-performance issues. Quantum computing offers a potential solution through quantum–classical co-simulation, in which one or more simulators of an otherwise classical co-simulation are executed on quantum hardware. …”
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615
Approximate Entropy of Spiking Series Reveals Different Dynamical States in Cortical Assemblies
Published 2022-03-01“…Self-organized criticality theory proved that information transmission and computational performances of neural networks are optimal in critical state. …”
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616
Optimizing lot sizing model for perishable bread products using genetic algorithm
Published 2023-12-01“…The results obtained from the application of GA demonstrate its effectiveness in generating near or optimal solutions while also showing fast computational performance. By utilizing GA, distributors can effectively minimize wastage arising from expired or perishable products while simultaneously meeting customer demand more efficiently. …”
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617
Applying a Deep Learning Neural Network to Gait-Based Pedestrian Automatic Detection and Recognition
Published 2022-04-01“…Additionally, because of the rapid development of graphics processing unit technology, related hardware and computation performance, the applications of deep-learning technology are considerably enhanced. …”
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618
Characterizing uncertainties of Earth system modeling with heterogeneous many-core architecture computing
Published 2022-09-01“…<p>The physical and heat limits of semiconductor technology require the adaptation of heterogeneous architectures in supercomputers, such as graphics processing units (GPUs) with many-core accelerators and many-core processors with management and computing cores, to maintain a continuous increase in computing performance. The transition from homogeneous multi-core architectures to heterogeneous many-core architectures can produce non-bit-for-bit reproducibility that leads to numerical perturbations and uncertainties in simulation results, which could blend with errors due to coding bugs. …”
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619
Influence of blade camber of straight-bladed vertical axis wind turbine on flow and aerodynamic performance
Published 2017-05-01“…The effects on flow and performance were also analyzed by additional computations performed with the same CFD code.…”
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620
Theoretical Analysis of Shrouded Horizontal Axis Wind Turbines
Published 2017-01-01“…The thrust coefficient for optimal power production of a conventional bare wind turbine is known to be 8/9, whereas the theoretical analysis of the NDAWT predicts an ideal thrust coefficient either lower or higher than 8/9 depending on the back pressure coefficient at which the shrouded turbine operates. Computed performance expectations demonstrate a good agreement with numerical and experimental results, and it is demonstrated that much larger power coefficients than for traditional wind turbines are achievable. …”
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