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481
Fundamentals of Fluid Power Control.
Published 2009Table of Contents: “…Control-Volume Flow Continuity -- PRV Flow -- Force Balance at the Spindle -- 5.13.3 Frequency Response from a Linearized Transfer Function Analysis -- 5.14 Servovalve Dynamics -- First-Stage, Armature, and Flapper-Nozzle -- Flapper-Nozzle and Resistance Bridge Flow Characteristic -- Force Balance at the Spool -- 5.15 An Open-Loop Servovalve-Motor Drive with Line Dynamics Modeled by Lumped Approximations -- Servovalve, Dynamics Included, Underlapped Spool -- Lines, Laminar Mean Flow, Two Lump Approximations per Line, Negligible Motor Internal Volume -- Motor Flow and Torque Equations -- 5.16 Transmission Line Dynamics -- 5.16.1 Introduction -- Servovalve-Cylinder with Short Lines and Significant Actuator Volumes -- Servovalve-Motor with Long Lines and Negligible Actuator Volumes -- 5.16.2 Lossless Line Model for Z and Y -- 5.16.3 Average and Distributed Line Friction Models for Z and Y -- 5.16.4 Frequency-Domain Analysis -- 5.16.5 Servovalve-Reflected Linearized Coefficients -- 5.16.6 Modeling Systems with Nonlossless Transmission Lines, the Modal Analysis Method -- 5.16.7 Modal Analysis Applied to a Servovalve-Motor Open-Loop Drive -- 5.17 The State-Space Method for Linear Systems Modeling -- 5.17.1 Modeling Principles -- 5.17.2 Some Further Aspects of the Time-Domain Solution -- 5.17.3 The Transfer Function Concept in State Space -- 5.18 Data-Based Dynamic Modeling -- 5.18.1 Introduction -- 5.18.2 Time-Series Modeling -- 5.18.3 The Group Method of Data Handling (GMDH) Algorithm -- 5.18.4 Artificial Neural Networks -- 5.18.5 A Comparison of Time-Series, GMDH, and ANN Modeling of a Second-Order Dynamic System -- 5.18.6 Time-Series Modeling of a Position Control System -- 5.18.7 Time-Series Modeling for Fault Diagnosis -- 5.18.8 Time-Series Modeling of a Proportional PRV -- 5.18.9 GMDH Modeling of a Nitrogen-Filled Accumulator.…”
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482
Binary decision diagrams and extensions for system reliability analysis
Published 2015Full text (MFA users only)
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483
Fog and fogonomics : challenges and practices of fog computing, communication, networking, strategy, and economics
Published 2020Table of Contents: “…8.1 Introduction 179 -- 8.2 Scenario and Application 182 -- 8.2.1 Concept Definition 182 -- 8.2.2 Fog-enabled IoT Application 184 -- 8.2.3 Characteristics and Open Challenges 185 -- 8.2.4 Orchestration Requirements 187 -- 8.3 Architecture: A Software-Defined Perspective 188 -- 8.3.1 Solution Overview 188 -- 8.3.2 Software-Defined Architecture 189 -- 8.4 Orchestration 191 -- 8.4.1 Resource Filtering and Assignment 192 -- 8.4.2 Component Selection and Placement 194 -- 8.4.3 Dynamic Orchestration with Runtime QoS 195 -- 8.4.4 Systematic Data-Driven Optimization 196 -- 8.4.5 Machine-Learning for Orchestration 197 -- 8.5 Fog Simulation 198 -- 8.5.1 Overview 198 -- 8.5.2 Simulation for IoT Application in Fog 199 -- 8.5.3 Simulation for Fog Orchestration 201 -- 8.6 Early Experience 202 -- 8.6.1 Simulation-Based Orchestration 202 -- 8.6.2 Orchestration in Container-Based Systems 206 -- 8.7 Discussion 207 -- 8.8 Conclusion 208 -- Acknowledgment 208 -- References 208 -- 9 A Decentralized Adaptation System for QoS Optimization 213 /Nanxi Chen, Fan Li, Gary White, Siobhán Clarke, and Yang Yang -- 9.1 Introduction 213 -- 9.2 State of the Art 217 -- 9.2.1 QoS-aware Service Composition 217 -- 9.2.2 SLA (Re-)negotiation 219 -- 9.2.3 Service Monitoring 221 -- 9.3 Fog Service Delivery Model and AdaptFog 224 -- 9.3.1 AdaptFog Architecture 224 -- 9.3.2 Service Performance Validation 227 -- 9.3.3 Runtime QoS Monitoring 232 -- 9.3.4 Fog-to-Fog Service Level Renegotiation 235 -- 9.4 Conclusion and Open Issues 240 -- References 240 -- 10 Efficient Task Scheduling for Performance Optimization 249 /Yang Yang, Shuang Zhao, Kunlun Wang, and Zening Liu -- 10.1 Introduction 249 -- 10.2 Individual Delay-minimization Task Scheduling 251 -- 10.2.1 System Model 251 -- 10.2.2 Problem Formulation 251 -- 10.2.3 POMT Algorithm 253 -- 10.3 Energy-efficient Task Scheduling 255 -- 10.3.1 Fog Computing Network 255 -- 10.3.2 Medium Access Protocol 257 -- 10.3.3 Energy Efficiency 257 -- 10.3.4 Problem Properties 258.…”
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484
Analyzing neural time series data : theory and practice
Published 2014Table of Contents: “…What Is the Surface Laplacian? -- 22.2. Algorithms for Computing the Surface Laplacian for EEG Data -- 22.3. …”
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485
Machine Learning for Risk Calculations : A Practitioner's View.
Published 2021Full text (MFA users only)
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486
Hidden Markov processes : theory and applications to biology
Published 2014Full text (MFA users only)
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487
Learning processing : a beginner's guide to programming images, animation, and interaction
Published 2015Full text (MFA users only)
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488
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489
The Cleveland Clinic Cardiology Board Review.
Published 2021Full text (MFA users only)
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490
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491
Diagnostic imaging of infections and inflammatory diseases : a multidisciplinary approach
Published 2014Full text (MFA users only)
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492
Bariatric surgery complications : the medical practitioner's essential guide
Published 2016Full text (MFA users only)
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493
Computational fluid-structure interaction : methods and applications
Published 2013Full text (MFA users only)
Electronic eBook -
494
AC electric motors control : advanced design techniques and applications
Published 2013Full text (MFA users only)
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