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Artículos de revistas sobre el tema "Optimisations for GPU"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

Amadio, G., J. Apostolakis, P. Buncic, et al. "Offloading electromagnetic shower transport to GPUs." Journal of Physics: Conference Series 2438, no. 1 (2023): 012055. http://dx.doi.org/10.1088/1742-6596/2438/1/012055.

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Abstract Making general particle transport simulation for high-energy physics (HEP) single-instruction-multiple-thread (SIMT) friendly, to take advantage of accelerator hardware, is an important alternative for boosting the throughput of simulation applications. To date, this challenge is not yet resolved, due to difficulties in mapping the complexity of Geant4 components and workflow to the massive parallelism features exposed by graphics processing units (GPU). The AdePT project is one of the R&D initiatives tackling this limitation and exploring GPUs as potential accelerators for offloa

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2

Yao, Shujun, Shuo Zhang, and Wanhua Guo. "Electromagnetic transient parallel simulation optimisation based on GPU." Journal of Engineering 2019, no. 16 (2019): 1737–42. http://dx.doi.org/10.1049/joe.2018.8587.

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3

Ebrahim, Abdulla, Andrea Bocci, Wael Elmedany, and Hesham Al-Ammal. "Optimising the Configuration of the CMS GPU Reconstruction." EPJ Web of Conferences 295 (2024): 11015. http://dx.doi.org/10.1051/epjconf/202429511015.

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Particle track reconstruction for high energy physics experiments like CMS is computationally demanding but can benefit from GPU acceleration if properly tuned. This work develops an autotuning framework to automatically optimise the throughput of GPU-accelerated CUDA kernels in CMSSW. The proposed system navigates the complex parameter space by generating configurations, benchmarking performance, and leveraging multi-fidelity optimisation from simplified applications. The autotuned launch parameters improved CMSSW tracking throughput over the default settings by finding optimised, GPU-specifi

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4

Quan, H., Z. Cui, R. Wang, and Zongjie Cao. "GPU parallel implementation and optimisation of SAR target recognition method." Journal of Engineering 2019, no. 21 (2019): 8129–33. http://dx.doi.org/10.1049/joe.2019.0669.

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5

Träff, Erik A., Anton Rydahl, Sven Karlsson, Ole Sigmund, and Niels Aage. "Simple and efficient GPU accelerated topology optimisation: Codes and applications." Computer Methods in Applied Mechanics and Engineering 410 (May 2023): 116043. http://dx.doi.org/10.1016/j.cma.2023.116043.

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6

Szénási, Sándor. "Solving the inverse heat conduction problem using NVLink capable Power architecture." PeerJ Computer Science 3 (November 20, 2017): e138. http://dx.doi.org/10.7717/peerj-cs.138.

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The accurate knowledge of Heat Transfer Coefficients is essential for the design of precise heat transfer operations. The determination of these values requires Inverse Heat Transfer Calculations, which are usually based on heuristic optimisation techniques, like Genetic Algorithms or Particle Swarm Optimisation. The main bottleneck of these heuristics is the high computational demand of the cost function calculation, which is usually based on heat transfer simulations producing the thermal history of the workpiece at given locations. This Direct Heat Transfer Calculation is a well parallelisa

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7

Bitam, Salim, NourEddine Djedi, and Maroua Grid. "GPU-based distributed bee swarm optimisation for dynamic vehicle routing problem." International Journal of Ad Hoc and Ubiquitous Computing 31, no. 3 (2019): 155. http://dx.doi.org/10.1504/ijahuc.2019.10022343.

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8

Khemiri, Randa, Hassan Kibeya, Fatma Ezahra Sayadi, Nejmeddine Bahri, Mohamed Atri, and Nouri Masmoudi. "Optimisation of HEVC motion estimation exploiting SAD and SSD GPU-based implementation." IET Image Processing 12, no. 2 (2018): 243–53. http://dx.doi.org/10.1049/iet-ipr.2017.0474.

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9

Uchida, Akihiro, Yasuaki Ito, and Koji Nakano. "Accelerating ant colony optimisation for the travelling salesman problem on the GPU." International Journal of Parallel, Emergent and Distributed Systems 29, no. 4 (2013): 401–20. http://dx.doi.org/10.1080/17445760.2013.842568.

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10

Spalding, Myles, Anthony Walsh, and Trent Aland. "Evaluation of a new GPU-enabled VMAT multi-criteria optimisation plan generation algorithm." Medical Dosimetry 45, no. 4 (2020): 368–73. http://dx.doi.org/10.1016/j.meddos.2020.05.007.

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11

Meager, Iain, Raja Shahid Ashraf, Christian B. Nielsen, et al. "Power conversion efficiency enhancement in diketopyrrolopyrrole based solar cells through polymer fractionation." J. Mater. Chem. C 2, no. 40 (2014): 8593–98. http://dx.doi.org/10.1039/c4tc01594k.

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12

He, Xuzhen. "Accelerated linear algebra compiler for computationally efficient numerical models: Success and potential area of improvement." PLOS ONE 18, no. 2 (2023): e0282265. http://dx.doi.org/10.1371/journal.pone.0282265.

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The recent dramatic progress in machine learning is partially attributed to the availability of high-performant computers and development tools. The accelerated linear algebra (XLA) compiler is one such tool that automatically optimises array operations (mostly fusion to reduce memory operations) and compiles the optimised operations into high-performant programs specific to target computing platforms. Like machine-learning models, numerical models are often expressed in array operations, and thus their performance can be boosted by XLA. This study is the first of its kind to examine the effic

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13

Wang, Bangke. "Optimisation of Rendering Performance of Adobe After Effects Film Effects Based on GPU Acceleration and Task Scheduling Algorithm." Journal of Combinatorial Mathematics and Combinatorial Computing 127a (April 15, 2025): 247–57. https://doi.org/10.61091/jcmcc127a-015.

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This paper analyzes the development trend of Adobe After Effects-based movie special effects technology, including accelerated GPU research, integration and enhancement of 3D special effects production functions, cross-platform and cross-software collaboration, as well as the impact on the way special effects artists create. In terms of GPU research, the acceleration performance of different GPUs in movie simulation in China and abroad is compared, and the 3D effects production function involves the creation of 3D models, movie settings, rendering standardization, as well as the rendering outp

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14

Bélanger, C., É. Poulin, S. Aubin, J. A. M. Cunha, and L. Beaulieu. "PP-0150 Commissioning of a GPU-based multi-criteria optimisation algorithm for HDR brachytherapy." Radiotherapy and Oncology 158 (May 2021): S113—S115. http://dx.doi.org/10.1016/s0167-8140(21)06442-2.

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15

Huang, Shengjun, and Venkata Dinavahi. "GPU-based parallel real-time volt/var optimisation for distribution network considering distributed generators." IET Generation, Transmission & Distribution 12, no. 20 (2018): 4472–81. http://dx.doi.org/10.1049/iet-gtd.2017.1887.

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16

Gallio, Elena, Osvaldo Rampado, Elena Gianaria, Silvio Diego Bianchi, and Roberto Ropolo. "A GPU Simulation Tool for Training and Optimisation in 2D Digital X-Ray Imaging." PLOS ONE 10, no. 11 (2015): e0141497. http://dx.doi.org/10.1371/journal.pone.0141497.

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17

Najam, Shaheryar, and Jameel Ahmed. "Run-time neuro-fuzzy type-2 controller for power optimisation of GP-GPU architecture." IET Circuits, Devices & Systems 14, no. 8 (2020): 1253–57. http://dx.doi.org/10.1049/iet-cds.2020.0233.

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18

Fluke, Christopher J., David G. Barnes, Benjamin R. Barsdell, and Amr H. Hassan. "Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters." Publications of the Astronomical Society of Australia 28, no. 1 (2011): 15–27. http://dx.doi.org/10.1071/as10019.

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AbstractGeneral-purpose computing on graphics processing units (GPGPU) is dramatically changing the landscape of high performance computing in astronomy. In this paper, we identify and investigate several key decision areas, with a goal of simplifying the early adoption of GPGPU in astronomy. We consider the merits of OpenCL as an open standard in order to reduce risks associated with coding in a native, vendor-specific programming environment, and present a GPU programming philosophy based on using brute force solutions. We assert that effective use of new GPU-based supercomputing facilities

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19

Schweiger, Martin. "GPU-Accelerated Finite Element Method for Modelling Light Transport in Diffuse Optical Tomography." International Journal of Biomedical Imaging 2011 (2011): 1–11. http://dx.doi.org/10.1155/2011/403892.

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We introduce a GPU-accelerated finite element forward solver for the computation of light transport in scattering media. The forward model is the computationally most expensive component of iterative methods for image reconstruction in diffuse optical tomography, and performance optimisation of the forward solver is therefore crucial for improving the efficiency of the solution of the inverse problem. The GPU forward solver uses a CUDA implementation that evaluates on the graphics hardware the sparse linear system arising in the finite element formulation of the diffusion equation. We present

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20

Knox, Stephen T., Sam J. Parkinson, Clarissa Y. P. Wilding, Richard A. Bourne, and Nicholas J. Warren. "Autonomous polymer synthesis delivered by multi-objective closed-loop optimisation." Polymer Chemistry 13, no. 11 (2022): 1576–85. http://dx.doi.org/10.1039/d2py00040g.

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An artificially intelligent flow-reactor platform equipped with online NMR and GPC enables autonomous polymerisation optimisation utilising a machine learning algorithm to map the trade-off between monomer conversion and dispersity.

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21

Plessen, Mogens Graf. "GPU-accelerated logistics optimisation for biomass production with multiple simultaneous harvesters tours, fields and plants." Biomass and Bioenergy 141 (October 2020): 105650. http://dx.doi.org/10.1016/j.biombioe.2020.105650.

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22

Chotirmall, Sanjay Haresh, Gillian Lee, Mary Cosgrave, Ciaran Donegan, and Allan Moore. "Optimisation of dementia management in Irish primary care." International Journal of Geriatric Psychiatry 23, no. 8 (2008): 880. http://dx.doi.org/10.1002/gps.2049.

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23

Xiong, Youwei, Wei Chen, Tao Ou, Guoyan Zhao, and Dongling Wu. "Application of Multibody Dynamics and Bonded-Particle GPU Discrete Element Method in Modelling of a Gyratory Crusher." Minerals 14, no. 8 (2024): 774. http://dx.doi.org/10.3390/min14080774.

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The gyratory crusher is one of the most important mineral processing assets in the comminution circuit, and its production performance directly impacts the circuit throughput. Due to its higher energy utilisation rate for rock breakage than semi-autogenous (SAG/AG) milling, it is a common practice in operations to promote and optimise primary crushing before the downstream capacity can be enhanced. This study aims to develop a discrete element modelling (DEM) and multibody dynamics (MBD) cosimulation framework to optimise the performance of the gyratory crusher. An MBD model was initially esta

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24

Sabuga, Wladimir, and Rob Haines. "Development of 1.6 GPa pressure-measuring multipliers." ACTA IMEKO 3, no. 2 (2014): 54. http://dx.doi.org/10.21014/acta_imeko.v3i2.104.

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Two 1.6 GPa pressure-measuring multipliers were developed and built. Feasibility analysis of their operation up to 1.6 GPa, parameter optimisation and prediction of their behaviour were performed using Finite Element Analysis (FEA). Their performance and metrological properties were determined experimentally at pressures up to 500 MPa. The experimental and theoretical results are in reasonable agreement. With the results obtained so far, the relative standard uncertainty of the pressure measurement up to 1.6 GPa is expected to be not greater than 2·10<sup>-4</sup>. With this new de

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25

Aicha, Faten Ben, Faouzi Bouani, and Mekki Ksouri. "Design of GPC closed-loop performances using multi-objective optimisation." International Journal of Modelling, Identification and Control 16, no. 2 (2012): 180. http://dx.doi.org/10.1504/ijmic.2012.047125.

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26

Guzzi, Francesco, Alessandra Gianoncelli, Fulvio Billè, Sergio Carrato, and George Kourousias. "Automatic Differentiation for Inverse Problems in X-ray Imaging and Microscopy." Life 13, no. 3 (2023): 629. http://dx.doi.org/10.3390/life13030629.

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Computational techniques allow breaking the limits of traditional imaging methods, such as time restrictions, resolution, and optics flaws. While simple computational methods can be enough for highly controlled microscope setups or just for previews, an increased level of complexity is instead required for advanced setups, acquisition modalities or where uncertainty is high; the need for complex computational methods clashes with rapid design and execution. In all these cases, Automatic Differentiation, one of the subtopics of Artificial Intelligence, may offer a functional solution, but only

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27

Piętak, Kamil, Dominik Żurek, Marcin Pietroń, Andrzej Dymara, and Marek Kisiel-Dorohinicki. "Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment." Journal of Computational Science 31 (February 2019): 151–62. http://dx.doi.org/10.1016/j.jocs.2019.01.007.

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28

Wang, Xiebing, Kai Huang, and Alois Knoll. "Performance Optimisation of Parallelized ADAS Applications in FPGA-GPU Heterogeneous Systems: A Case Study With Lane Detection." IEEE Transactions on Intelligent Vehicles 4, no. 4 (2019): 519–31. http://dx.doi.org/10.1109/tiv.2019.2938092.

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29

Rodriguez, Pedro, and Didier Dumur. "Robustification d'une commande GPC par optimisation convexe du paramètre de Youla." Journal Européen des Systèmes Automatisés 37, no. 1 (2003): 109–34. http://dx.doi.org/10.3166/jesa.37.109-134.

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30

Ramesh, Vishal Avinash, Ehsan Nikbakht Jarghouyeh, Ahmed Saleh Alraeeini, and Amin Al-Fakih. "Optimisation Investigation and Bond-Slip Behaviour of High Strength PVA-Engineered Geopolymer Composite (EGC) Cured in Ambient Temperatures." Buildings 13, no. 12 (2023): 3020. http://dx.doi.org/10.3390/buildings13123020.

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Engineered geopolymer composite (EGC) is becoming an uprising product in the civil industry as a substitute and solution for conventional geopolymer concrete (GPC) as GPC exhibits brittleness and has poor cracking resistance. In this paper, we explored high strength engineered geopolymer composite (EGC) made of polyvinyl alcohol (PVA) fibre and without coarse aggregate constituents characterised as high-performance geopolymer concrete. Varying alkaline solution to fly ash ratio (AL/FA) was investigated. Bond-slip behaviour and the mechanical properties, including compressive, tensile, and flex

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31

Hsieh, Hsin-Ta, and Chih-Hsing Chu. "Particle swarm optimisation (PSO)-based tool path planning for 5-axis flank milling accelerated by graphics processing unit (GPU)." International Journal of Computer Integrated Manufacturing 24, no. 7 (2011): 676–87. http://dx.doi.org/10.1080/0951192x.2011.570792.

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32

Brazhnik, O. I., and A. A. Rudenko. "Pilot test results of GP-200/11x500-m stage chamber pump." Mining Industry (Gornay Promishlennost), no. 6/2020 (December 29, 2020): 53–55. http://dx.doi.org/10.30686/1609-9192-2020-6-53-55.

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The article reviews and analyses issues that include optimisation of pumping equipment for efficient drainage of saline water in conditions of underground mines. It describes approaches to design improvement of pumping equipment and shows the economic effect of its implementation based on the results of pilot tests.

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33

Langdon, William B., and Oliver Krauss. "Genetic Improvement of Data for Maths Functions." ACM Transactions on Evolutionary Learning and Optimization 1, no. 2 (2021): 1–30. http://dx.doi.org/10.1145/3461016.

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We use continuous optimisation and manual code changes to evolve up to 1024 Newton-Raphson numerical values embedded in an open source GNU C library glibc square root sqrt to implement a double precision cube root routine cbrt, binary logarithm log2 and reciprocal square root function for C in seconds. The GI inverted square root x -1/2 is far more accurate than Quake’s InvSqrt, Quare root. GI shows potential for automatically creating mobile or low resource mote smart dust bespoke custom mathematical libraries with new functionality.

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34

Strauss, Johannes M., and Robert T. Dobson. "Evaluation of a second order simulation for Sterling engine design and optimisation." Journal of Energy in Southern Africa 21, no. 2 (2010): 17–29. http://dx.doi.org/10.17159/2413-3051/2010/v21i2a3252.

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This paper reports on the investigation of the simulation accuracy of a second order Stirling cycle simulation tool as developed by Urieli (2001) and improvements thereof against the known performance of the GPU-3 Stirling engine. The objective of this investigation is to establish a simulation tool to perform preliminary engine design and optimisation.The second order formulation under investigation simulates the engine based on the ideal adiabatic cycle, and parasitic losses are only accounted for afterwards. This approach differs from third order formulations that simulate the engine in a c

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35

Mpon, Richard, Maurice K. Ndikontar, Hyppolite N. Ntede, et al. "Optimisation of Graft Copolymerisation of Fibres from Banana Trunk." E-Journal of Chemistry 9, no. 1 (2012): 373–80. http://dx.doi.org/10.1155/2012/313490.

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Sheets from banana trunks were opened out and dried for several weeks in air. Pulp was obtained by the nitric acid process with a yield of 37.7% while fibres were obtained according to the modified standard Japanese method for cellulose in wood for pulp (JIS 8007) with a yield of 65% with respect to oven dried plant material. Single fibre obtained by the JIS method had an average diameter of 11.0 μm and Young's modulus, tensile strength and strain at break-off 7.05 GPa, 81.7 MPa and 5.2% respectively. Modification of the fibres was carried out by grafting ethyl acrylate in the presence of ammo

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36

Richmond, Tutea, Louise Lods, Jany Dandurand, et al. "Physical and dynamic mechanical properties of continuous bamboo reinforcement/bio-based epoxy composites." Materials Research Express 9, no. 1 (2022): 015505. http://dx.doi.org/10.1088/2053-1591/ac4c1a.

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Abstract Unidirectional bamboo reinforced cardanol-based epoxy composites were prepared by a close mould method. Two morphologies of reinforcements were used in this research: bamboo fibres and bamboo strips. The present article investigates the influence of bamboo reinforcements on the thermal and mechanical properties of the bio based matrix. Differential Scanning Calorimetry analyses showed that the introduction of bamboo does not modify the physical properties of the matrix. DMA analyses in shear mode showed an improvement of the shear conservative modulus that reaches 1.7 ± 0.1 GPa. This

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37

Cherop, Peter Tumwet, Sammy Lewis Kiambi, and Paul Musonge. "Modelling and optimisation of oxidative desulphurisation of tyre-derived oil via central composite design approach." Green Processing and Synthesis 8, no. 1 (2019): 451–63. http://dx.doi.org/10.1515/gps-2019-0013.

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Abstract The aim of this study was to apply the central composite design technique to study the interaction of the amount of formic acid (6-12 mL), amount of hydrogen peroxide (6-10 mL), temperature (54-58°C) and reaction time (40-60 min) during the oxidative desulphurisation (ODS) of tyre-derived oil (TDO). The TDO was oxidised at various parametric interactions before being subjected to solvent extraction using acetonitrile. The acetonitrile to oil ratios used during the extraction were 1:1 and 1:2. The content of sulphur before and after desulphurisation was analysed using ICP-AES. The maxi

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38

Perković, Gabriela, Mirela Planinić, Gordana Šelo, et al. "Optimisation of the Encapsulation of Grape Pomace Extract by Spray Drying Using Goat Whey Protein as a Coating Material." Coatings 14, no. 9 (2024): 1101. http://dx.doi.org/10.3390/coatings14091101.

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The aim of this research was to determine the optimal conditions for the process of the microencapsulation of phenol-rich grape pomace extract (GPE) using spray drying and goat whey protein (GW) as a coating. The encapsulation was carried out with the aim of protecting the original bioactive components extracted from grape pomace to ensure their stability and protection from external agents, as well as antioxidant activity, during the conversion of the liquid extract into powder and during storage. Using the response surface methodology, an inlet air temperature of 173.5 °C, a GW ratio of 2.5

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39

Cavus, Muhammed, and Adib Allahham. "Enhanced Microgrid Control through Genetic Predictive Control: Integrating Genetic Algorithms with Model Predictive Control for Improved Non-Linearity and Non-Convexity Handling." Energies 17, no. 17 (2024): 4458. http://dx.doi.org/10.3390/en17174458.

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Microgrid (MG) control is crucial for efficient, reliable, and sustainable energy management in distributed energy systems. Genetic Algorithm-based energy management systems (GA-EMS) can optimally control MGs by solving complex, non-linear, and non-convex problems but may struggle with real-time application due to their computational demands. Model Predictive Control (MPC)-based EMS, which predicts future behaviour to ensure optimal performance, usually depends on linear models. This paper introduces a novel Genetic Predictive Control (GPC) method that combines a GA and MPC to enhance resource

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40

Cao, Yue, Shuchen Guo, Shuai Jiang, et al. "Parallel Optimisation and Implementation of a Real-Time Back Projection (BP) Algorithm for SAR Based on FPGA." Sensors 22, no. 6 (2022): 2292. http://dx.doi.org/10.3390/s22062292.

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This study conducts an in-depth evaluation of imaging algorithms and software and hardware architectures to meet the capability requirements of real-time image acquisition systems, such as spaceborne and airborne synthetic aperture radar (SAR) systems. By analysing the principles and models of SAR imaging, this research creatively puts forward the fully parallel processing architecture for the back projection (BP) algorithm based on Field-Programmable Gate Array (FPGA). The processing time consumption has significant advantages compared with existing methods. This article describes the BP imag

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41

Tomczak, Tadeusz. "Data-Oriented Language Implementation of the Lattice–Boltzmann Method for Dense and Sparse Geometries." Applied Sciences 11, no. 20 (2021): 9495. http://dx.doi.org/10.3390/app11209495.

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The performance of lattice–Boltzmann solver implementations usually depends mainly on memory access patterns. Achieving high performance requires then complex code which handles careful data placement and ordering of memory transactions. In this work, we analyse the performance of an implementation based on a new approach called the data-oriented language, which allows the combination of complex memory access patterns with simple source code. As a use case, we present and provide the source code of a solver for D2Q9 lattice and show its performance on GTX Titan Xp GPU for dense and sparse geom

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42

Xu, Yiming, Suli Liu, Weijun Meng, et al. "Continuous sulfonation of hexadecylbenzene in a microreactor." Green Processing and Synthesis 10, no. 1 (2021): 219–29. http://dx.doi.org/10.1515/gps-2021-0021.

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Abstract Heavy alkyl benzene sulfonates are inexpensive surfactants that are extensively used as oil-displacing agents during tertiary oil recovery. Among these, C16–18 heavy alkyl benzene sulfonates possess an excellent ability to reduce the oil-water interface tension. In this study, hexadecylbenzene sulfonic acid (HBSA) was synthesised in a continuous stirred-tank microreactor using a continuous method with 1,2-dichloroethane (EDC) dilution. Post-sulfonation liquid SO3 solution was used as a sulfonating agent for hexadecylbenzene (HDB). The effects of reaction conditions, such as the SO3:HD

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43

Lambert, Jonathan, Rosemary Monahan, and Kevin Casey. "Accidental Choices—How JVM Choice and Associated Build Tools Affect Interpreter Performance." Computers 11, no. 6 (2022): 96. http://dx.doi.org/10.3390/computers11060096.

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Considering the large number of optimisation techniques that have been integrated into the design of the Java Virtual Machine (JVM) over the last three decades, the Java interpreter continues to persist as a significant bottleneck in the performance of bytecode execution. This paper examines the relationship between Java Runtime Environment (JRE) performance concerning the interpreted execution of Java bytecode and the effect modern compiler selection and integration within the JRE build toolchain has on that performance. We undertook this evaluation relative to a contemporary benchmark suite

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44

Szkutnik-Rogoż, Joanna, Jarosław Ziółkowski, Jerzy Małachowski, and Mateusz Oszczypała. "Mathematical Programming and Solution Approaches for Transportation Optimisation in Supply Network." Energies 14, no. 21 (2021): 7010. http://dx.doi.org/10.3390/en14217010.

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The problem of transport is a special type of mathematical programming designed to search for the optimal distribution network, taking into account the set of suppliers and the set of recipients. This article proposes an innovative approach to solving the transportation problem and devises source codes in GNU Octave (version 3.4.3) to avoid the necessity of carrying out enormous calculations in traditional methods and to minimize transportation costs, fuel consumption, and CO2 emission. The paper presents a numerical example of a solution to the transportation problem using: the northwest corn

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45

Temple, PD, M. Harmon, R. Lewis, MC Burstow, B. Temple, and D. Jones. "Optimisation of grease application to railway tracks." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, no. 5 (2017): 1514–27. http://dx.doi.org/10.1177/0954409717734681.

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Trackside lubricators are designed to deliver grease to passing wheel flanges to reduce wheel and rail wear on curves. Ensuring that they are set up to deliver sufficient grease for the range of vehicles passing a site can be a challenge. For example, vehicle dynamics modelling and site investigations have shown that the wheels of passenger vehicles do not run as close to the rail face as those of freight vehicles, meaning that they are less likely to contact the grease and lubricate subsequent curves. To investigate the effects of different trackside devices, and the influence of parameters g

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Mahfouf, M., M. F. Abbod, and D. A. Linkens. "Multi-objective genetic optimisation of GPC and SOFLC tuning parameters using a fuzzy-based ranking method." IEE Proceedings - Control Theory and Applications 147, no. 3 (2000): 344–54. http://dx.doi.org/10.1049/ip-cta:20000345.

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47

Kumbum, Praveen Kumar, Vijay Kumar Adari, Vinay Chunduru, Srinivas Gonepally, and Kishor Kumar Amuda. "Optimizing Network Function Virtualization: A Comprehensive Performance Analysis of Hardware- Accelerated Solutions." SOJ Materials Science & Engineering 10, no. 1 (2024): 1–10. http://dx.doi.org/10.15226/sojmse.2024.00172.

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Network Function Virtualization (NFV) heralds a transformative shift in the realm of network infrastructure, moving away from the rigid confines of specialised hardware appliances towards nimble, software-driven solutions that operate on off-the-shelf hardware. This transition holds the tantalising promise of substantial reductions in both capital and operational expenditures. However, the deployment and orchestration of virtual network functions pose formidable challenges, particularly concerning the optimisation of performance and judicious allocation of resources. The significance of this r

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48

Escobar, Juan José, Pablo Sánchez-Cuevas, Beatriz Prieto, Kızıltepe Rukiye Savran, Fernando Díaz-del-Río, and Dragi Kimovski. "Energy-time Modelling of Distributed Multi-population Genetic Algorithms with Dynamic Workload in HPC Clusters." Future Generation Computer Systems 167 (June 7, 2025): e107753. https://doi.org/10.1016/j.future.2025.107753.

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Time and energy efficiency is a highly relevant objective in high-performance computing systems, with high costs for executing the tasks. Among these tasks, evolutionary algorithms are of consideration due to their inherent parallel scalability and usually costly fitness evaluation functions. In this respect, several scheduling strategies for workload balancing in heterogeneous systems have been proposed in the literature, with runtime and energy consumption reduction as their goals. Our hypothesis is that a dynamic workload distribution can be fitted with greater precision using metaheuristic

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49

Karpenko, A. P., and V. A. Ovchinnikov. "How to Trick a Neural Network? Synthesising Noise to Reduce the Accuracy of Neural Network Image Classification." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 1 (134) (March 2021): 102–19. http://dx.doi.org/10.18698/0236-3933-2021-1-102-119.

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The study aims to develop an algorithm and then software to synthesise noise that could be used to attack deep learning neural networks designed to classify images. We present the results of our analysis of methods for conducting this type of attacks. The synthesis of attack noise is stated as a problem of multidimensional constrained optimization. The main features of the attack noise synthesis algorithm proposed are as follows: we employ the clip function to take constraints on noise into account; we use the top-1 and top-5 classification error ratings as attack noise efficiency criteria; we

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50

Fedosov, Sergey, Maksim Bakanov, Irina Grushko, and Ilya Kuznetsov. "Dynamics of crystallization and structural and mechanical properties of magnesium modified foam glass in multicomponent silicate systems." Smart composite in construction 6, no. 2 (2025): 35–52. https://doi.org/10.52957/2782-1919-2025-6-2-35-52.

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The authors investigate the impact of magnesium oxide on the dynamics of crystallisation and structural-mechanical properties of foam glass in the system "glass mass – gas – crystallites". The authors have established by methods of thermodynamic modelling, scanning electron microscopy and energy dispersive microanalysis that the introduction of MgO induces the formation of MgFe2O4 and Mg-Ca-silicates, reducing the proportion of quartz by 18%. Optimisation of MgO concentration (7.5 wt%) provided an increase in bending strength up to 86.5 MPa and microhardness up to 7.2 GPa. A systematic approac

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