Search Results - (((((((kant OR wyant) OR semantic) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Nano-Biomedical Engineering 2009 : Proceedings of the Tohoku University Global Centre of Excellence Programme Global Nano-Biomedical Engineering Education and Research Network Cent...

Table of Contents: “…Achievement of mechanical assistance by an artificial myocardium using shape memory alloy fibre / Yasuyuki Shiraishi, Tomoyuki Yambe, Dai Homma. …”
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Relationship inference with Familias and R : statistical methods in forensic genetics by Egeland, Thore, Kling, Daniel, Mostad, Petter, 1964-

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Introduction to OFDM receiver design and simulation by Liu, Y. J.

Table of Contents: “…2.2 Data Transmission Rate -- 2.3 Bandpass Signals -- 2.4 Digitally Modulated Signals -- 2.4.1 PAM -- 2.4.2 PSK -- 2.4.3 QAM -- 2.4.4 FSK -- 2.5 Pulse Shaping -- 2.6 Summary -- References -- 3 Multicarrier Modulation -- 3.1 Introduction -- 3.2 OFDM Waveform -- 3.3 OFDM Characteristics -- 3.3.1 Orthogonality -- 3.3.2 OFDM Spectrum -- 3.3.3 PAPR -- 3.3.4 Cyclic Prefix -- 3.3.5 FFT -- 3.4 Time and Frequency Parameters -- 3.5 Window Function -- 3.6 Digital Modulation -- 3.7 OFDM Waveform Properties -- 3.8 Summary -- References -- 4 OFDM Transmission -- 4.1 Introduction…”
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An Update on Airway Management

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Analyzing neural time series data : theory and practice by Cohen, Mike X., 1979-

Table of Contents: “…Which Sampling Rate to Use When Recording Data -- 6.7. Other Optional Equipment to Consider -- pt. …”
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COST ANALYSIS OF ELECTRONIC SYSTEMS. by Sandborn, Peter

Table of Contents: “…5.2.1 Traditional cost accounting (TCA)5.2.2 Activity-based costing; 5.3 Activity-Based Cost Model Example; 5.4 Summary and Discussion; References; Bibliography; Problems; Chapter 6 Parametric Cost Modeling; 6.1 Cost Estimating Relationships (CERs); 6.1.1 Developing CERs; 6.2 A Simple Parametric Cost Modeling Example; 6.3 Limitations of CERs; 6.3.1 Bounds of the data; 6.3.2 Scope of the data; 6.3.3 Overfitting; 6.3.4 Don't force a correlation when one does not exist; 6.3.5 Historical data; 6.4 Other Parametric Cost Modeling/Estimation Approaches; 6.4.1 Feature-based costing (FBC).…”
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Mechanical, Information and Industrial Engineering by Wang, Li

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Linear drives for industry applications IX : selected, peer reviewed papers from the 9th International Conference on Linear Drives for Industry Applications (LDIA 2013), July 7-10,...

Table of Contents: “…Intro -- Linear Drives for Industry Applications IX -- Preface, Committees and Reviewers -- Table of Contents -- Chapter 1: Linear Motors and Other Electrical Machines -- Design and Analysis of a New Linear Fault-Tolerant Flux-Reversal Permanent-Magnet Machine -- Design of Dual-Rotor Radial Flux Permanent-Magnet Generator for Wind Power Applications -- Inductance and Flux Linkage Variation on Operation Performance for Multi-Segmented Linear PM Motor -- An Optimal Method for Minimizing Cogging Torque in Disc-Type Permanent Magnet Machines Using FEM and Genetic Algorithm -- Research on the End Effect Detent Force Reduction of Permanent Magnet Linear Synchronous Motor with Auxiliary Poles One-Piece Structure -- Performance Analysis of a Linear Motor with HTS Bulk Magnets for Driving a Prototype HTS Maglev Vehicle -- Design of a New Frog-Leg Winding Permanent-Magnet Brushless DC Motor -- Magnetic Shielding for Coreless Linear Permanent Magnet Motors -- Design and Experiment Analysis of Induction Machine Used in the Economical EV -- An Exact Analytical Solution of Halbach Arrays Permanent-Magnet Motor for Magnetic Field on Load -- Analysis, Design and Prototyping of a Low-Speed High-Torque Six-Phase Fault-Tolerant Permanent Magnet Synchronous Machine for EVs -- Investigation of a Single-Phase Oscillating PM Alternator for Free-Piston Stirling Engines -- Punching Machine Driver Research Based on Pulse Electromagnetic Force Actuator -- Characteristic Analysis of Moving Magnet Type Double-Sided Linear Synchronous Motor -- Gravity Neighborhood Estimation Algorithm Based for Cylinder Linear Motor Parameter Optimization -- Copper Losses and Rotor Losses Calculation for the BLDCM Used in a Flywheel Energy Storage System -- Optimal Design of a Double-Sided Permanent Magnet Linear Synchronous Motor for Ropeless Elevator System.…”
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Software engineering for embedded systems : methods, practical techniques, and applications

Table of Contents: “…-- How much testing is enough? -- When should testing take place? -- Who makes the decisions?…”
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Cognitive radio communication and networking : principles and practice by Qiu, Robert C., 1966-

Table of Contents: “…10.3.3 Game Formulation 369 -- 10.3.4 Bayesian Equilibrium 370 -- 10.3.5 Numerical Results 371 -- 10.4 Games in Collaborative Spectrum Sensing 372 -- 10.4.1 False Report Attack 373 -- 10.4.2 Game Formulation 373 -- 10.4.3 Elements of Game 374 -- 10.4.4 Bayesian Equilibrium 376 -- 10.4.5 Numerical Results 379 -- 11 Cognitive Radio Network 381 -- 11.1 Basic Concepts of Networks 381 -- 11.1.1 Network Architecture 381 -- 11.1.2 Network Layers 382 -- 11.1.3 Cross-Layer Design 384 -- 11.1.4 Main Challenges in Cognitive Radio Networks 384 -- 11.1.5 Complex Networks 385 -- 11.2 Channel Allocation in MAC Layer 386 -- 11.2.1 Problem Formulation 386 -- 11.2.2 Scheduling Algorithm 387 -- 11.2.3 Solution 389 -- 11.2.4 Discussion 390 -- 11.3 Scheduling in MAC Layer 391 -- 11.3.1 Network Model 391 -- 11.3.2 Goal of Scheduling 393 -- 11.3.3 Scheduling Algorithm 393 -- 11.3.4 Performance of the CNC Algorithm 395 -- 11.3.5 Distributed Scheduling Algorithm 396 -- 11.4 Routing in Network Layer 396 -- 11.4.1 Challenges of Routing in Cognitive Radio 397 -- 11.4.2 Stationary Routing 398 -- 11.4.3 Dynamic Routing 402 -- 11.5 Congestion Control in Transport Layer 404 -- 11.5.1 Congestion Control in Internet 404 -- 11.5.2 Challenges in Cognitive Radio 405 -- 11.5.3 TP-CRAHN 406 -- 11.5.4 Early Start Scheme 408 -- 11.6 Complex Networks in Cognitive Radio 417 -- 11.6.1 Brief Introduction to Complex Networks 418 -- 11.6.2 Connectivity of Cognitive Radio Networks 421 -- 11.6.3 Behavior Propagation in Cognitive Radio Networks 423 -- 12 Cognitive Radio Network as Sensors 427 -- 12.1 Intrusion Detection by Machine Learning 429 -- 12.2 Joint Spectrum Sensing and Localization 429 -- 12.3 Distributed Aspect Synthetic Aperture Radar 429 -- 12.4 Wireless Tomography 433 -- 12.5 Mobile Crowdsensing 434 -- 12.6 Integration of 3S 435 -- 12.7 The Cyber-Physical System 435 -- 12.8 Computing 436 -- 12.8.1 Graphics Processor Unit 437 -- 12.8.2 Task Distribution and Load Balancing 437 -- 12.9 Security and Privacy 438.…”
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Mastering Django. by George, Nigel

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Manipulative voting dynamics by Gohar, Neelam

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Non-alcoholic fatty liver disease : a practical guide

Table of Contents: “…Chapter 8: A primary care perspective of fatty liver: diagnosis, management, prescribing, and when to refer -- Introduction: fatty liver and the metabolic syndrome -- Diagnosis -- Imaging -- Liver function tests -- Evaluation -- History and physical examination -- Alcohol -- Physical examination -- Laboratory tests -- Testing for metabolic disorders -- When to refer -- Management -- Statins and hyperlipidemia -- Use of other medications -- Follow-up -- Conclusions -- Multiple choice questions -- References -- Answers to multiple choice questions -- Chapter 9: Imaging of NAFLD -- Introduction -- Imaging evaluation of hepatic steatosis -- Ultrasound -- Computed tomography -- Magnetic resonance -- Comparative performance of US, CT, and MR -- Imaging evaluation of fibrosis and cirrhosis -- Stiffness -- Perfusion -- Diffusion -- Imaging evaluation of non-alcoholic steatohepatitis -- Conclusion -- Multiple choice questions -- References -- Answers to multiple choice questions -- Chapter 10: Non-invasive methods to determine the severity of NAFLD and NASH -- Introduction -- Liver biopsy -- Non-invasive assessment of hepatic steatosis -- Radiological tests -- Other clinical tests -- Non-invasive assessment of NASH -- Clinical parameters -- Biomarkers of apoptosis -- Adipokines -- Biomarkers of oxidative stress -- Other biomarkers -- Non-invasive assessment of fibrosis -- Clinical prediction scores -- Biomarkers of fibrosis -- Physical measurements -- The future -- Multiple choice questions -- References -- Answers to multiple choice questions -- Chapter 11: Fatigue, quality of life, and psychosocial issues for people with NAFLD -- Functional ability in NAFLD -- Symptoms in NAFLD -- Fatigue in NAFLD -- Excessive daytime sleepiness -- Autonomic nervous system dysfunction -- Postural dizziness -- Depression in patients with NAFLD.…”
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Acoustic emission and durability of composite materials by Godin, Nathalie, Reynaud, Pascal, Fantozzi, G.

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Designing and Researching of Machines and Technologies for Modern Manufacture.

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Danforth's obstetrics and gynecology.

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Artificial intelligence and data mining approaches in security frameworks

Table of Contents: “…87 -- 5.1.2 Purpose of Spamming 88 -- 5.1.3 Spam Filters Inputs and Outputs 88 -- 5.2 Content-Based Spam Filtering Techniques 89 -- 5.2.1 Previous Likeness–Based Filters 89 -- 5.2.2 Case-Based Reasoning Filters 89 -- 5.2.3 Ontology-Based E-Mail Filters 90 -- 5.2.4 Machine-Learning Models 90 -- 5.2.4.1 Supervised Learning 90 -- 5.2.4.2 Unsupervised Learning 90 -- 5.2.4.3 Reinforcement Learning 91 -- 5.3 Machine Learning–Based Filtering 91 -- 5.3.1 Linear Classifiers 91 -- 5.3.2 Naïve Bayes Filtering 92 -- 5.3.3 Support Vector Machines 94 -- 5.3.4 Neural Networks and Fuzzy Logics–Based Filtering 94 -- 5.4 Performance Analysis 97 -- 5.5 Conclusion 97 -- References 98 -- 6 Artificial Intelligence in the Cyber Security Environment 101 Jaya Jain -- 6.1 Introduction 102 -- 6.2 Digital Protection and Security Correspondences Arrangements 104 -- 6.2.1 Operation Safety and Event Response 105 -- 6.2.2 AI2 105 -- 6.2.2.1 CylanceProtect 105 -- 6.3 Black Tracking 106 -- 6.3.1 Web Security 107 -- 6.3.1.1 Amazon Macie 108 -- 6.4 Spark Cognition Deep Military 110 -- 6.5 The Process of Detecting Threats 111 -- 6.6 Vectra Cognito Networks 112 -- 6.7 Conclusion 115 -- References 115 -- 7 Privacy in Multi-Tenancy Frameworks Using AI 119 Shweta Solanki -- 7.1 Introduction 119 -- 7.2 Framework of Multi-Tenancy 120 -- 7.3 Privacy and Security in Multi-Tenant Base System Using AI 122 -- 7.4 Related Work 125 -- 7.5 Conclusion 125 -- References 126 -- 8 Biometric Facial Detection and Recognition Based on ILPB and SVM 129 Shubhi Srivastava, Ankit Kumar and Shiv Prakash -- 8.1 Introduction 129 -- 8.1.1 Biometric 131 -- 8.1.2 Categories of Biometric 131 -- 8.1.2.1 Advantages of Biometric 132 -- 8.1.3 Significance and Scope 132 -- 8.1.4 Biometric Face Recognition 132 -- 8.1.5 Related Work 136 -- 8.1.6 Main Contribution 136 -- 8.1.7 Novelty Discussion 137 -- 8.2 The Proposed Methodolgy 139 -- 8.2.1 Face Detection Using Haar Algorithm 139 -- 8.2.2 Feature Extraction Using ILBP 141 -- 8.2.3 Dataset 143 -- 8.2.4 Classification Using SVM 143 -- 8.3 Experimental Results 145 -- 8.3.1 Face Detection 146 -- 8.3.2 Feature Extraction 146 -- 8.3.3 Recognize Face Image 147 -- 8.4 Conclusion 151 -- References 152 -- 9 Intelligent Robot for Automatic Detection of Defects in Pre-Stressed Multi-Strand Wires and Medical Gas Pipe Line System Using ANN and IoT 155 S K Rajesh Kanna, O. …”
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Nonlinear science and complexity

Table of Contents: “…Bruzón -- Applying a new algorithm to derive nonclassical symmetries / M.S. …”
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Lippincott's primary care orthopaedics

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Evolutionary Robust Control. by Feyel, Philippe

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