Characteristic columnar connectivity caters to cortical computation: Replication, simulation, and evaluation of a microcircuit model by Tobias Schulte to Brinke, Tobias Schulte to Brinke, Renato Duarte, Renato Duarte, Abigail Morrison, Abigail Morrison

“…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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Redox-based ion-gating reservoir consisting of (104) oriented LiCoO2 film, assisted by physical masking by Kaoru Shibata, Daiki Nishioka, Wataru Namiki, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe

“…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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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

“…Overall, ZenLDA could achieve comparable and even better computing performance with state-of-the-art dedicated systems.…”
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An Asymmetric Collision-Free Optimal Trajectory Planning Method for Three DOF Industrial Robotic Arms by Wenhao Wu, Aipeng Jiang, Kai Mao, Haodong Wang, Yamei Lin

“…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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A mass- and energy-conserving framework for using machine learning to speed computations: a photochemistry example by P. O. Sturm, P. O. Sturm, A. S. Wexler, A. S. Wexler

“…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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FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images by Wei Wang, Dezhi Han, Chongqing Chen, Zhongdai Wu

“…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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A Mixed-Integer and Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem by Bruno Colonetti, Erlon Cristian Finardi, Welington de Oliveira

“…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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A Novel Algorithm for Multi-Criteria Ontology Merging through Iterative Update of RDF Graph by Mohammed Suleiman Mohammed Rudwan, Jean Vincent Fonou-Dombeu

“…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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Deep reinforcement learning based offloading decision algorithm for vehicular edge computing by Xi Hu, Yang Huang

“…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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Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case by Zixi Wang, Zixi Wang, Jie Li, Jie Li, Jie Li, Lin Wu, Lin Wu, Mingming Zhu, Mingming Zhu, Yujing Zhang, Yujing Zhang, Zhilan Ye, Zhilan Ye, Zifa Wang, Zifa Wang, Zifa Wang

“…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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Hydrogen Station Location Planning via Geodesign in Connecticut: Comparing Optimization Models and Structured Stakeholder Collaboration by Oscar Lopez Jaramillo, Joel Rinebold, Michael Kuby, Scott Kelley, Darren Ruddell, Rhian Stotts, Aimee Krafft, Elizabeth Wentz

“…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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An Equivalent Frame Digital Twin for the Seismic Monitoring of Historic Structures: A Case Study on the Consoli Palace in Gubbio, Italy by Daniele Sivori, Laura Ierimonti, Ilaria Venanzi, Filippo Ubertini, Serena Cattari

“…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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Automotive ethernet controller authentication method based on national cryptographic algorithms by Hui GUO, Yong LUO, Xiaolu GUO

“…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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Quantum–classical co-simulation for smart grids: a proof-of-concept study on feasibility and obstacles by Dominik Vereno, Amin Khodaei, Christian Neureiter, Sebastian Lehnhoff

“…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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Approximate Entropy of Spiking Series Reveals Different Dynamical States in Cortical Assemblies by Leonardo Ermini, Paolo Massobrio, Luca Mesin

“…Self-organized criticality theory proved that information transmission and computational performances of neural networks are optimal in critical state. …”
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Optimizing lot sizing model for perishable bread products using genetic algorithm by Hayati Mukti Asih, Raden Achmad Chairdino Leuveano, Dhimas Arief Dharmawan

“…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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Applying a Deep Learning Neural Network to Gait-Based Pedestrian Automatic Detection and Recognition by Chih-Lung Lin, Kuo-Chin Fan, Chin-Rong Lai, Hsu-Yung Cheng, Tsung-Pin Chen, Chao-Ming Hung

“…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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Characterizing uncertainties of Earth system modeling with heterogeneous many-core architecture computing by Y. Yu, Y. Yu, S. Zhang, S. Zhang, S. Zhang, H. Fu, H. Fu, L. Wu, L. Wu, L. Wu, D. Chen, Y. Gao, Y. Gao, Z. Wei, D. Jia, X. Lin, X. Lin, X. Lin

“…<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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Influence of blade camber of straight-bladed vertical axis wind turbine on flow and aerodynamic performance by Eiji EJIRI, Tomoya IWADATE

“…The effects on flow and performance were also analyzed by additional computations performed with the same CFD code.…”
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Theoretical Analysis of Shrouded Horizontal Axis Wind Turbines by Tariq Abdulsalam Khamlaj, Markus Peer Rumpfkeil

“…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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