Auswahl der wissenschaftlichen Literatur zum Thema „Configuration en pipeline“
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Zeitschriftenartikel zum Thema "Configuration en pipeline"
WANG, CHENG, und HOWARD M. HEYS. „PERFORMANCE CHARACTERIZATION OF PIPELINED S-BOX IMPLEMENTATIONS FOR THE ADVANCED ENCRYPTION STANDARD“. Journal of Circuits, Systems and Computers 23, Nr. 03 (März 2014): 1450036. http://dx.doi.org/10.1142/s0218126614500364.
Der volle Inhalt der QuelleJ.S., Shijo, und Niranjana Behera. „Modelling and analysis of flow of powders through long pipelines“. World Journal of Engineering 17, Nr. 5 (15.07.2020): 709–18. http://dx.doi.org/10.1108/wje-01-2020-0035.
Der volle Inhalt der QuelleZhang, Jiayi, Lin Cui, Hualing Zhai und Dong-Sheng Jeng. „Assessment of Wave–Current-Induced Liquefaction under Twin Pipelines Using the Coupling Model“. Journal of Marine Science and Engineering 11, Nr. 7 (05.07.2023): 1372. http://dx.doi.org/10.3390/jmse11071372.
Der volle Inhalt der QuelleAllain, Fabrice, Julien Roméjon, Philippe La Rosa, Frédéric Jarlier, Nicolas Servant und Philippe Hupé. „Geniac: Automatic Configuration GENerator and Installer for nextflow pipelines“. Open Research Europe 1 (02.07.2021): 76. http://dx.doi.org/10.12688/openreseurope.13861.1.
Der volle Inhalt der QuelleTan, Yohei, Daiki Oki, Yu Liu, Yukiko Arai, Zachary Nosker, Haruo Kobayashi, Osamu Kobayashi et al. „Self-Calibration Techniques of Pipeline ADCs Using Cyclic Configuration“. Key Engineering Materials 596 (Dezember 2013): 181–86. http://dx.doi.org/10.4028/www.scientific.net/kem.596.181.
Der volle Inhalt der QuelleAllain, Fabrice, Julien Roméjon, Philippe La Rosa, Frédéric Jarlier, Nicolas Servant und Philippe Hupé. „Geniac: Automatic Configuration GENerator and Installer for nextflow pipelines“. Open Research Europe 1 (21.02.2022): 76. http://dx.doi.org/10.12688/openreseurope.13861.2.
Der volle Inhalt der QuelleMardonov, B., I. Mirzaev, N. A. Nishonov, E. V. An und E. A. Kosimov. „Upheaval buckling of underground pipelines of complex configuration located in liquefied soils“. E3S Web of Conferences 401 (2023): 02041. http://dx.doi.org/10.1051/e3sconf/202340102041.
Der volle Inhalt der QuelleCheng, Xiaofei, Jun Yang, Tiaojian Xu und Qianyuan Xu. „Study on Hydrodynamic Coefficients of a Submarine Piggyback Pipeline under the Action of Waves and Current“. Journal of Marine Science and Engineering 9, Nr. 10 (14.10.2021): 1118. http://dx.doi.org/10.3390/jmse9101118.
Der volle Inhalt der QuelleCheng, Xiaofei, Jun Yang, Tiaojian Xu und Qianyuan Xu. „Study on Hydrodynamic Coefficients of a Submarine Piggyback Pipeline under the Action of Waves and Current“. Journal of Marine Science and Engineering 9, Nr. 10 (14.10.2021): 1118. http://dx.doi.org/10.3390/jmse9101118.
Der volle Inhalt der QuelleHwang, Woongik, und Jong Seh Lee. „Analytical Model for the Structural Behavior of Pipelines During Lowering-In“. Applied Sciences 9, Nr. 13 (27.06.2019): 2595. http://dx.doi.org/10.3390/app9132595.
Der volle Inhalt der QuelleDissertationen zum Thema "Configuration en pipeline"
Gasti, Wahida. „Etude et realisation d'un processeur rapide de transformations geometriques d'images numeriques“. Université Louis Pasteur (Strasbourg) (1971-2008), 1986. http://www.theses.fr/1986STR13131.
Der volle Inhalt der QuelleOudrhiri, Ali. „Performance of a Neural Network Accelerator Architecture and its Optimization Using a Pipeline-Based Approach“. Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS658.pdf.
Der volle Inhalt der QuelleIn recent years, neural networks have gained widespread popularity for their versatility and effectiveness in solving a wide range of complex tasks. Their ability to learn and make predictions from large data-sets has revolutionized various fields. However, as neural networks continue to find applications in an ever-expanding array of domains, their significant computational requirements become a pressing challenge. This computational demand is particularly problematic when deploying neural networks in resource-constrained embedded devices, especially within the context of edge computing for inference tasks. Nowadays, neural network accelerator chips emerge as the optimal choice for supporting neural networks at the edge. These chips offer remarkable efficiency with their compact size, low power consumption, and reduced latency. Moreover, the fact that they are integrated on the same chip environment also enhances security by minimizing external data communication. In the frame of edge computing, diverse requirements have emerged, necessitating trade-offs in various performance aspects. This has led to the development of accelerator architectures that are highly configurable, allowing them to adapt to distinct performance demands. In this context, the focus lies on Gemini, a configurable inference neural network accelerator designed with imposed architecture and implemented using High-Level Synthesis techniques. The considerations for its design and implementation were driven by the need for parallelization configurability and performance optimization. Once this accelerator was designed, demonstrating the power of its configurability became essential, helping users select the most suitable architecture for their neural networks. To achieve this objective, this thesis contributed to the development of a performance prediction strategy operating at a high-level of abstraction, which considers the chosen architecture and neural network configuration. This tool assists clients in making decisions regarding the appropriate architecture for their specific neural network applications. During the research, we noticed that using one accelerator presents several limits and that increasing parallelism had limitations on performances. Consequently, we adopted a new strategy for optimizing neural network acceleration. This time, we took a high-level approach that did not require fine-grained accelerator optimizations. We organized multiple Gemini instances into a pipeline and allocated layers to different accelerators to maximize performance. We proposed solutions for two scenarios: a user scenario where the pipeline structure is predefined with a fixed number of accelerators, accelerator configurations, and RAM sizes. We proposed solutions to map the layers on the different accelerators to optimise the execution performance. We did the same for a designer scenario, where the pipeline structure is not fixed, this time it is allowed to choose the number and configuration of the accelerators to optimize the execution and also hardware performances. This pipeline strategy has proven to be effective for the Gemini accelerator. Although this thesis originated from a specific industrial need, certain solutions developed during the research can be applied or adapted to other neural network accelerators. Notably, the performance prediction strategy and high-level optimization of NN processing through pipelining multiple instances offer valuable insights for broader application
Lussac, Samuel. „L'Azerbaïdjan, les hydrocarbures et les pipelines : réseaux sociotechniques et régionalisation“. Thesis, Bordeaux 4, 2011. http://www.theses.fr/2011BOR40060/document.
Der volle Inhalt der QuelleThis dissertation looks at the socio-political impacts of the pipelines that have beenimplemented in the South Caucasus since 1991. It is based on a theoreticalframework mixing Actor-Network Theory, Norbert Elias’s sociology andmanagement approaches. It assumes that the construction of an Azerbaijanihydrocarbons transportation complex system sheds light into the evolution of theSouth Caucasian configuration. First, this research studies interactions that emergeLUSSAC Samuel | Science Politique | Doctorat | 201114around the implementation of export routes for Azerbaijani oil and gas resources.It highlights the development of new forms of governance, which mostly benefit tothe oil company BP. Second, this dissertation demonstrates that the sociotechnicalnetworks built around these new export routes contribute to the evolution of theSouth Caucasian configuration. These networks overflow the economic sphere tofoster regionalization between Azerbaijan, Georgia and Turkey. Third, thisresearch underlines the benefits the Azerbaijani ‘state-company’ retrieves fromthis hydrocarbons-based regionalization. Baku takes advantage of oil and gasresources to increase its economic and political influence within the SouthCaucasian configuration. Therefore, the Actor-Network Theory helps to shed lightinto the economic and political role of hydrocarbons in the rise of Azerbaijan.From a failed state, this country has now established itself as a regional power
„The Design and Use of a Smartphone Data Collection Tool and Accompanying Configuration Language“. Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-12-1851.
Der volle Inhalt der QuelleBücher zum Thema "Configuration en pipeline"
MORTON, Jaxon. Welding for Beginners: Welding Joint Configurations, Plasma Arc and Hybrid Welding, Pipeline and MIG Welding, Choosing a Welding Career, Making Welding Cart, Math Behind Welding. Independently Published, 2022.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Configuration en pipeline"
Chaganti, Ravikanth. „DSC and the Release Pipeline“. In Pro PowerShell Desired State Configuration, 435–52. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3483-9_14.
Der volle Inhalt der QuelleDingare, Pranoday Pramod. „Understanding the Global Tool Configuration Page“. In CI/CD Pipeline Using Jenkins Unleashed, 45–54. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7508-5_6.
Der volle Inhalt der QuelleBrazdil, Pavel, Jan N. van Rijn, Carlos Soares und Joaquin Vanschoren. „Automating Workflow/Pipeline Design“. In Metalearning, 123–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67024-5_7.
Der volle Inhalt der QuelleSun, Xudong, Jiali Lin und Bernd Bischl. „ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning“. In Machine Learning and Knowledge Discovery in Databases, 68–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43823-4_7.
Der volle Inhalt der QuelleMo, Fan, Jack C. Chaplin, David Sanderson, Hamood Ur Rehman, Fabio Marco Monetti, Antonio Maffei und Svetan Ratchev. „A Framework for Manufacturing System Reconfiguration Based on Artificial Intelligence and Digital Twin“. In Lecture Notes in Mechanical Engineering, 361–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_35.
Der volle Inhalt der QuelleChaudhary, Hafiz Ahmad Awais, Ivan Guevara, Jobish John, Amandeep Singh, Tiziana Margaria und Dirk Pesch. „Low-Code Internet of Things Application Development for Edge Analytics“. In Internet of Things. IoT through a Multi-disciplinary Perspective, 293–312. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18872-5_17.
Der volle Inhalt der QuelleElkelany, Amany, Robert Ross und Susan Mckeever. „WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM“. In Communications in Computer and Information Science, 121–33. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_10.
Der volle Inhalt der QuelleHabekost, Jan-Gerrit, Erik Strahl, Philipp Allgeuer, Matthias Kerzel und Stefan Wermter. „CycleIK: Neuro-inspired Inverse Kinematics“. In Artificial Neural Networks and Machine Learning – ICANN 2023, 457–70. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44207-0_38.
Der volle Inhalt der QuelleSunwoo, Myoungho, Subramaniam Ganesan und Ka C. Cheok. „A Configuration of Parallel Pipelined Processing with DSP-Based Controller for High-Order Linear Systems“. In CAD/CAM Robotics and Factories of the Future, 339–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52320-5_56.
Der volle Inhalt der QuelleBekmirzaev, Diyorbek, Ibrakhim Mirzaev, Ruslan Kishanov, Nodirakhon Mansurova und Shoista Sabirova. „Study of the Mass Effect of a Complex Node of UnderGround Pipelines of Orthogonal Configuration Based on Real Earthquake Records“. In Lecture Notes in Civil Engineering, 371–83. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85236-8_34.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Configuration en pipeline"
Dyck, Jason, Stuart Guest, Alireza Kohandehghan und Sean Lepine. „Simulating In-Service Welding of Hot-Tap Branches to Quantify the Effect of Geometry on Level of Restraint“. In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78600.
Der volle Inhalt der QuelleGu, Yi, Qishi Wu, Mengxia Zhu und Nageswara S. V. Rao. „Efficient pipeline configuration in distributed heterogeneous computing environments“. In the twenty-seventh ACM symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1400751.1400825.
Der volle Inhalt der QuelleMourelle, Marcio M., Marcos Queija de Siqueira, Gabriela Grisolia de Avila und Ana Lucia F. Lima Torres. „Methodology for Analysis of Installation of a Steel Lazy Wave Riser“. In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0110.
Der volle Inhalt der QuellePaulini, Reinaldo Machado, und Luis Fernando Gonc¸alves Pires. „Optimizing Energy in ORBEL II Oil Pipeline“. In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10465.
Der volle Inhalt der QuelleMeyer, Paul A. „Design Considerations for the Use of Ultrasonic Phased Array Probes in Weld Inspection“. In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-199.
Der volle Inhalt der QuelleJuergensen, Birgit, Ivan Ewanicke und Thomas Xi. „Modeling Conflicts and Batch Quality Impacts in Pipeline and Crude Oil Storage Terminal“. In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64531.
Der volle Inhalt der QuelleWike, Andrew. „The Pros and Cons of Training Simulator Configurations“. In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0049.
Der volle Inhalt der QuelleHesar, M. „Pipeline-Seabed Interaction in Soft Clay“. In ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/omae2004-51425.
Der volle Inhalt der QuelleAyton, Brent, Thomas Dessein, Alex Fraser, Mari Shironishi, Travis Sera und Daniel Shapiro. „Probabilistic Corrosion Assessment for Natural Gas Storage Wells“. In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-86794.
Der volle Inhalt der QuelleHaas, Michael, Henrik Witte, Gerhard Kopp und Peter Haberl. „Phased Array Shot Scenario and Shot Sequence Optimization for Crack Detection Inline Inspection Tools“. In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87765.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Configuration en pipeline"
Author, Unknown. PR-322-05215-R02 CFD Analysis of Combined Suction Piping and Casing for Pipeline Pump-Type 12X14X19 DVS-E. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Juni 2014. http://dx.doi.org/10.55274/r0011038.
Der volle Inhalt der QuelleBourn. PR-015-05217-R01 High BTU Gas Effects on Performance and Emissions in a Two-Stroke Integral Engine. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), März 2012. http://dx.doi.org/10.55274/r0010763.
Der volle Inhalt der QuellePaidoussis, Michael. PR-593-18700-R01 Brine String Dynamics IV Deformation-Vibration in Solution Mined Caverns. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Mai 2021. http://dx.doi.org/10.55274/r0012099.
Der volle Inhalt der QuellePerkey, David, David Yearwood, Brian McFall, Brian Harris, Christopher Hardy, Timothy Welp, Adrienne Eckstein und Zachary Tyler. Hydraulic sorting of dredged sediment in a pipeline : an evaluation of the sediment distribution pipe. Engineer Research and Development Center (U.S.), Februar 2024. http://dx.doi.org/10.21079/11681/48219.
Der volle Inhalt der QuelleDawalibi. L51925 Detection of Anomalies in Coated Pipelines Using Long Range Ultrasonics. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Oktober 2002. http://dx.doi.org/10.55274/r0010644.
Der volle Inhalt der QuelleBaete, Christophe. PR-405-163602-R01 Evaluation of AC Corrosion Coupons for Monitoring Applications. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Mai 2019. http://dx.doi.org/10.55274/r0011593.
Der volle Inhalt der QuelleBowlin, Elizabeth, Puneet Agarwal und Rhett Dotson. PR-201-153718-R02 Integrity Assessment of DTI Pipelines Using High Resolution NDE. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2018. http://dx.doi.org/10.55274/r0011480.
Der volle Inhalt der QuelleNestleroth. L52298 Augmenting MFL Tools With Sensors that Assess Coating Condition. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), März 2009. http://dx.doi.org/10.55274/r0010396.
Der volle Inhalt der QuelleBeavers. L51700 Damage Assessment Tool. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Januar 1993. http://dx.doi.org/10.55274/r0010604.
Der volle Inhalt der QuelleBaete, Christophe. PR-405-163600-R01 Assessing High Voltage DC Interference Risks on Buried Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2019. http://dx.doi.org/10.55274/r0011566.
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