Search Results - (((((((ant OR alter) OR wind) OR kkantor) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Networks-on-chip : from implementations to programming paradigms by Ma, Sheng, Huang, Libo, 1976-, Lai, Mingche, Shi, Wei

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Millimeter-wave digitally intensive frequency generation in CMOS by Wu, Wanghua, Staszewski, Robert Bogdan, 1965-, Long, John R. (John Robert), 1958-

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Listed Volatility and Variance Derivatives : a Python-based Guide. by Hilpisch, Yves

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Software engineering for embedded systems : methods, practical techniques, and applications

Table of Contents: “…-- Examples of modeling languages -- The V diagram promise -- So, why would you want to model your embedded system? -- When should you model your embedded system? …”
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Unmanned aircraft systems

Table of Contents: “…Unmanned Aircraft Systems -- Contents -- Contributors -- Foreword -- Preface -- Part 1: Introductory -- Chapter 1: UAS Uses, Capabilities, Grand Challenges -- 1 Introduction -- 2 Uses -- Missions and Applications -- 2.1 Early evolution -- 2.2 Dull, dirty, and dangerous -- 2.3 Emergence of civil and commercial applications -- 3 Emerging Capabilities And A Look Ahead -- 3.1 Expanding the design space and operational envelope -- 3.2 Autonomy -- 4 Grand Challenges Ahead -- 4.1 Access to the airspace -- 4.2 The quest for trust -- 4.3 Integration -- 5 Summary -- References -- Part 2: Missions -- Chapter 2: Remote Sensing Methodology for Unmanned Aerial Systems -- 1 Introduction -- 2 UAS Remote Sensing Methodology -- 3 Core Concepts in UAS Remote Sensing Applications -- 3.1 Detection/Counting Applications -- 3.2 Identification/Localization Applications -- 3.3 Analysis Applications -- 4 UAS Imaging Equipment -- 4.1 Video Systems -- 4.2 Digital Cameras -- 4.3 Calibrated Digital Imagers -- 4.3.1 Digital Cameras as Calibrated Imagers -- 4.3.2 Multispectral and Hyperspectral Imagers -- 4.3.3 Spectral Sensitivity -- 5 Conclusion -- References -- Chapter 3: Autonomous Parachute-Based Precision Delivery Systems -- 1 Introduction -- 2 Concept of Operations and Key Requirements -- 3 Pads Family and Steady-State Performance -- 4 Modeling -- 4.1 Governing equations -- 4.2 Apparent mass and inertia -- 4.3 PADS aerodynamics -- 4.4 Effect of the control inputs -- 4.5 Linearized models and stability -- 5 Pads Gnc -- 5.1 Maneuver-based guidance -- 5.2 Accounting for the variable winds -- 5.3 Optimal precision placement guidance -- 6 Other Developments -- 6.1 Glide slope angle control -- 6.2 Reduced cost PADS -- 7 Conclusion -- References -- Chapter 4: Networked Multiple UAS -- 1 Introduction -- 2 Principles of Radio Links -- 3 Air-to-Ground Communications.…”
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Visual Inspection Technology in the Hard Disc Drive Industry. by Muneesawang, Paisarn

Table of Contents: “…Introduction / Suchart Yammen / Paisarn Muneesawang -- 1.2. Algorithm for corrosion detection / Suchart Yammen / Paisarn Muneesawang -- 1.2.1. …”
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Mastering Active Directory by Francis, Dishan

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Fundamentals of Fluid Power Control. by Watton, John

Table 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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IBM TotalStorage : SAN product, design, and optimization guide

Table of Contents: “…SAN design considerations -- 6.1 What do you want to achieve with a SAN? -- 6.1.1 Storage consolidation -- 6.1.2 High availability solutions -- 6.1.3 LAN-free backup -- 6.1.4 Server-free backup -- 6.1.5 Server-less backup -- 6.1.6 Disaster recovery -- 6.1.7 Flexibility -- 6.1.8 Goals -- 6.1.9 Benefits expected -- 6.1.10 TCO/ROI -- 6.1.11 Investment protection -- 6.2 Existing resources needs and planned growth -- 6.2.1 Collecting the data about existing resources -- 6.2.2 Planning for future needs -- 6.2.3 Platforms and storage -- 6.3 Select the core design for your environment -- 6.3.1 Selecting the topology -- 6.3.2 Scalability -- 6.3.3 Performance -- 6.3.4 Redundancy and resiliency -- 6.4 Host connectivity and Host Bus Adapters -- 6.4.1 Selection criteria -- 6.4.2 Multipathing software -- 6.4.3 Storage sizing -- 6.4.4 Management software -- 6.5 Director class or switch technology -- 6.6 General considerations -- 6.6.1 Ports and ASICs -- 6.6.2 Class F.…”
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A Theory of Assembly : From Museums to Memes. by Parry, Kyle

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The next economic disaster : why it's coming and how to avoid it by Vague, Richard

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Statistical learning from a regression perspective by Berk, Richard A.

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Electric Power System Fundamentals. by Acha Daza, Salvador

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Fuzzy Multiple Attribute Decision Making : Methods and Applications by Chen, Shu-Jen

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Swift 2 design patterns : build robust and scalable iOS and Mac OS X game applications by Lange, Julien

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Learning Neo4j 3.x - Second Edition. by Baton, Jerome

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Big Data Analytics with R. by Walkowiak, Simon

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