Search Results - mechanical engineering data processing.

Design of multiphase reactors by Pangarkar, Vishwas G.

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Carburizing : microstructures and properties by Parrish, Geoffrey, 1933-

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Embedded systems : hardware, design, and implementation

Table of Contents: “…Title page -- Copyright page -- Contents -- Preface -- Contributors -- 1: Low Power Multicore Processors for Embedded Systems -- 1.1 Multicore Chip with Highly Efficient Cores -- 1.2 SuperH™ RISC Engine Family (SH) Processor Cores -- 1.2.1 History of SH Processor Cores -- 1.2.2 Highly Efficient ISA -- 1.2.3 Asymmetric In-Order Dual-Issue Superscalar Architecture -- 1.3 SH-X: A Highly Efficient CPU Core -- 1.3.1 Microarchitecture Selections -- 1.3.2 Improved Superpipeline Structure -- 1.3.3 Branch Prediction and Out-of-Order Branch Issue -- 1.3.4 Low Power Technologies -- 1.3.5 Performance and Efficiency Evaluations -- 1.4 SH-X FPU: A Highly Efficient FPU -- 1.4.1 FPU Architecture of SH Processors -- 1.4.2 Implementation of SH-X FPU -- 1.4.3 Performance Evaluations with 3D Graphics Benchmark -- 1.5 SH-X2: Frequency and Efficiency Enhanced Core -- 1.5.1 Frequency Enhancement -- 1.5.2 Low Power Technologies -- 1.6 SH-X3: Multicore Architecture Extension -- 1.6.1 SH-X3 Core Specifications -- 1.6.2 Symmetric and Asymmetric Multiprocessor Support -- 1.6.3 Core Snoop Sequence Optimization -- 1.6.4 Dynamic Power Management -- 1.6.5 RP-1 Prototype Chip -- 1.6.6 RP-2 Prototype Chip -- 1.7 SH-X4: ISA and Address Space Extension -- 1.7.1 SH-X4 Core Specifications -- 1.7.2 Efficient ISA Extension -- 1.7.3 Address Space Extension -- 1.7.4 Data Transfer Unit -- 1.7.5 RP-X Prototype Chip -- References -- 2: Special-Purpose Hardware for Computational Biology -- 2.1 Molecular Dynamics Simulations on Graphics Processing Units -- 2.1.1 Molecular Mechanics Force Fields -- 2.1.2 Graphics Processing Units for MD Simulations -- 2.2 Special-Purpose Hardware and Network Topologies for MD Simulations -- 2.2.1 High-Throughput Interaction Subsystem -- 2.2.2 Hardware Description of the Flexible Subsystem -- 2.2.3 Performance and Conclusions.…”
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Building type basics for college and university facilities by Neuman, David J.

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Human-assisted intelligent computing : modeling, simulations and applications

Table of Contents: “…Performance comparison of data security algorithms / M. Sumathi, R. Narmadha and G.D. …”
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The art of digital marketing : the definitive guide to creating strategic, targeted and measurable online campaigns by Dodson, Ian

Table of Contents: “…-- Principle 1: Initiate -- Principle 2: Iterate -- Principle 3: Integrate -- Chapter 2: Search Engine Optimization -- An Introduction -- The Process -- Key Terms and Concepts -- Search Engine Result Pages: Positioning -- Organic versus Paid Listings -- Location-Based Search -- Knowledge Graph Listing -- Data Highlighter -- Search Behavior -- Stage 1: Goals -- Stage 2: On-Page Optimization -- Keyword Research -- Key Terms -- Offline Keyword Research -- Online Keyword Research -- A Word of Warning -- The On-Page Optimization Process -- Style and Structure -- Up-to-Date Content -- Optimizing the Technical Mechanics of Your Page -- URLs -- Page Names -- Meta Tags -- Breadcrumb Navigation -- On-Page Headings -- First Paragraph -- Body of Text -- Anchor Text -- Images and Alt Text -- Social Sharing -- Site Map -- The Technical Aspects of SEO -- Compatibility -- Structured Data Markup -- Houston, We Have a Problem -- Site Maps and Google Search Console -- Sitemaps -- Robots: Helping You Hide -- GSC Tool Reports -- Stage 3: Off-Page Optimization -- Link Formats -- Link Building -- Content Marketing -- Social Sharing -- Stage 4: Analyze -- An Ongoing Process -- Law and Order: SEO -- So, What Have You Learned in This Chapter? …”
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Prognostics and health management of electronics : fundamentals, machine learning, and internet of things

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Physical properties of macromolecules by Belfiore, Laurence A.

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Fundamentals of infrared and visible detector operation and testing by Vincent, John David

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Exploring discourse strategies in social and cognitive interaction : multimodal and cross-linguistic perspectives

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FUTURE OF AIRPLANE FACTORY : digitally optimized intelligent airplane assembly. by BULLEN, GEORGE NICHOLAS

Table of Contents: “…2.6.4 Virtual Commissioning -- 2.6.5 Virtual Commissioning Test-Bed (VET) -- 2.7 Mobility -- 2.8 Future State -- 2.8.1 Understanding of the Nervous System -- 2.8.2 Ability to Manipulate the Central Nervous System -- 2.8.3 Computer Hardware/Software to Process Inputs/Outputs -- 2.9 Summary -- References -- CHAPTER 3 Data Fusion and Neural Networks -- 3.1 Introduction -- 3.2 Data Fusion -- 3.2.1 Simple Case Example: Drill and Fill -- 3.2.2 Intermediate Case Example: Data Fusion across Dissimilar Machine Platforms -- 3.2.3 Macro-Example: Data Fusion across the Enterprise…”
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Multi-agent machine learning : a reinforcement approach

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Coordination in Heterarchical Supply Chains : a Framework for the Design and Evaluation of Collaborative Planning Concepts. by Küppers, Peer

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Event-Based Neuromorphic Systems. by Liu, Shih-Chii

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Distributed artificial intelligence : a modern approach

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Cutting-edge technology for carbon capture, utilization, and storage

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Content-based image classification : efficient machine learning using robust feature extraction techniques by Das, Rik, 1978-

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Handbook of real-world applications in modeling and simulation

Table of Contents: “…Unstructured Surface MeshingUnstructured Tetrahedral Meshing; Acknowledgments; References; Chapter Eight: Military Interoperability Challenges; 8.1 Introduction and Learning Objectives; 8.2 Background; 8.3 Theory; 8.4 Live Virtual Constructive; 8.5 LVC Examples; 8.6 Distributed Simulation Engineering and Execution Process (DSEEP); 8.7 LVC Architecture Framework (LVCAF); 8.8 Simulation Systems; Summary; Key Terms; References; Index.…”
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Mastering Lean Six Sigma : advanced black belt concepts by Taghizadegan, Salman, 1957-

Table of Contents: “…-- 8.6.2 Building a "house of quality" -- 8.7 Measurement system analysis (MSA) -- 8.8 Process measurement -- 8.8.1 Data collection -- 8.8.2 Principles of variation -- 8.8.3 Type of variation -- 8.8.4 Type of data -- 8.8.5 Science of statistics -- 8.8.6 Classification of numerical data -- 8.8.7 Qualitative data (nominal or ordinal) -- 8.8.8 Quantitative data (interval or ratio) -- 8.8.9 Sampling strategy -- 8.8.10 Data analysis -- 8.9 Tollgate review and checklist for measure phase -- 8.9.1 Measure phase deliverables and checklists.…”
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Therapeutic nanomaterials

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