Toxicologic pathology : a primer

Full text (WIT users only)

Analytical techniques in forensic science

Table of Contents: “…</p> <p>2.3 The Stages of Analysis</p> <p>2.3.1 Quantification</p> <p>2.4 Analysis Development</p> <p>2.4.1 Error Estimation</p> <p>2.4.2 Quality Assurance and Quality Control</p> <p>2.4.3 Method Development and Experimental Designs</p> <p>2.4.4 Selecting Critical Variables with Factorial Designs</p> <p>2.4.5 Modelling the Significant Variables using Response Surface Designs</p> <p>3 Presumptive Testing</p> <p>3.1 Drugs</p> <p>3.1.1 Drugs seizure sampling</p> <p>3.1.2 Major drug classes</p> <p>3.1.3 Presumptive tests for drugs</p> <p>3.2 Firearms Discharge Residue</p> <p>3.2.1 Firearms Discharge Residue Sampling</p> <p>3.2.2 Firearms Discharge Residue Presumptive Tests</p> <p>3.3 Explosives</p> <p>3.3.1 Explosive Residue Sampling</p> <p>3.3.2 Explosive Residue Presumptive Tests</p> <p>3.4 Ethanol (Ethyl Alcohol)</p> <p>3.4.1 Breath Alcohol Testing</p> <p>3.4.2 Saliva-Based Testing</p> <p>3.5 Ignitable Liquid Residues</p> <p>3.6 Non-Chemical Presumptive Tests</p> <p>3.6.1 Electronic Detectors </p> <p>3.6.2 Canine Detection</p> <p>4 Sample Preparation</p> <p>4.1 Sample preparation</p> <p>4.2 Extraction</p> <p>4.2.1 Solvent Extraction</p> <p>4.2.2 Liquid-liquid Extraction</p> <p>4.2.3 Solid phase Extraction</p> <p>4.2.4 Solid-phase Microextraction</p> <p>4.2.5 QuEChERS</p> <p>4.2.6 Sample Handling Post Extraction</p> <p>4.3 Sample Preparation for Inorganic Analyses</p> <p>4.3.1 Total Analysis</p> <p>4.3.2 Chemical Speciation</p> <p>4.4 DNA Profiling</p> <p>4.5 Conclusion</p> <p>5 The Electromagnetic Spectrum</p> <p>6 UV-Vis and Fluorescence Spectroscopy</p> <p>6.1 Forensic Introduction</p> <p>6.2 Theory</p> <p>6.2.1 Electronic Transitions</p> <p>6.2.2 Photoluminescence and Fluorescence</p> <p>6.2.3 Quantifiation</p> <p>6.3 Instrumentation</p> <p>6.3.1 UV-Vis Spectrometers</p> <p>6.3.2 Fluorescence Spectrometers/Fluorometers</p> <p>6.3.3 Coupling Techniques</p> <p>6.3.4 Microspectrophotometers</p> <p>6.3.5 Hyperspectral Imaging</p> <p>6.3.6 Filtered Light Examination</p> <p>6.4 Application to Analyte</p> <p>6.4.1 Transmission Analysis in Solution</p> <p>6.4.2 MSP Sample Preparation</p> <p>6.4.3 Acquiring a Spectrum</p> <p>6.4.4 Forensic Applications</p> <p>6.5 Interpretation and Law</p> <p>6.5.1 Interpreting UV-Vis Spectra</p> <p>6.5.2 Interpreting Fluorescence Spectra</p> <p>6.5.3 UV-Vis and Fluorescence Spectroscopy in Court</p> <p>6.6 Case Studies </p> <p>6.6.1 Case Study 1</p> <p>6.6.2 Case Study 2</p> <p>6.7 Forensic Developments</p> <p>7.1 Introduction</p> <p>7.2 Theory of technique</p> <p>7.2.1 Basis of technique</p> <p>7.2.2 Instrumentation</p> <p>7.2.3 Transmission spectroscopy</p> <p>7.2.4 Reflectance spectroscopy</p> <p>7.2.5 Infrared microspectroscopy</p> <p>7.2.6 Handheld and portable instruments</p> <p>7.3 Application to analyte</p> <p>7.3.1 Sampling</p> <p>7.3.2 Spectrum analysis</p> <p>7.4 Interpretation and law</p> <p>7.5 Case studies -- Discrimination of acrylic fibres</p> <p>7.6 Forensic developments</p> <p>8. …”
Full text (Wentworth users only)

Characterization of minerals, metals, and materials proceedings of symposium

Table of Contents: “…Thermal Properties of Polyester Composites Incorporated with Coir Fiber / Helvio Pessanha Guimar̃es Santaf̌, Nũ Simonassi, Sergio Neves Monteiro -- Investigating the Rheology of LCPs through Different Die Geometries / Arash Ahmadzadegan, Michael A Zimmerman, Anil Saigal -- Effect of the Fiber Equivalent Diameter on the Elastic Modulus and Density of Sisal Fibers / Artur Camposo Pereira, Wellington Pereira Iǹcio, Frederico Muylaert Margem, Sergio Neves Monteiro -- Correlation between the Density and the Diameter of Buriti Fibers / Anderson de Paula Barbosa, Michel Picando Oliveira, Alexandre da Silva Crespo, N︢bia Suely Silva Santos -- Thermal and Morphological Behavior of EVOH/Piassava Fiber Composites / Beatriz Ribeiro Nogueira, Anne Chinellato, Angel Visentim Ortiz, Arifa Parveen, Vijaya Kumar Rangari, Esperidiana A B Moura -- Thermal Behavior of Banana Fiber / Frederico Muylaert Margem, Lucas Barbosa de Souza Martins, Nathalia Carneiro Garcia Rosa, Sergio Neves Monteiro -- Comparative Studies of Crushing Behavior of Various Fiber Reinforced Skin Polyurethane Foam Cored Composite Sandwich Structures / K V Sharma, M Sripathy -- Elastic Modulus Variation with Diameter for Ramie Fibers / Alice Barreto Bevitori, Isabela Lêo Amaral da Silva, Renan Sopeletto Carreiro, Frederico Muylaert Margem, Sergio Neves Monteiro -- Comparative Study of the Sugarcane Bagasse Fiber/HDPE Composite Properties Using Electron-Beam and Gamma Radiation Treatments / Amanda C S Pereira, Anne C Chinellato, Alejandra T Soria, Anibal V Abreu, Ňlida L de Mastro, Esperidiana A B Moura -- Characterization of Light Metals. Influence of Deformation on the Properties of Carbon-Fiber Reinforced 2024 Alloy Matrix Composites / Linli Wu, Guangchun Yao -- Microstructure and Deformation Behavior of Mg-Zn-Al-Re Magnesium Alloy / Jing Zhang, Fusheng Pan, Chenguang Bai -- Microstructures and Tensile Mechanical Properties of Mg-9Zn-0.6Zr-2Er Magnesium Alloy / Jing Zhang, Baoxiang Zhang -- Nanobond -- The Perfect Refractory Choice for Quick Lining and Repairing of Aluminium Melting Furnaces / Thomas Schemmel, Helge Jansen, Bertram Kesselheim, Uwe Kremer -- Characterization of Grit Blasted Metallic Biomaterials by Thermoelectric Power Measurements / H Carreon, S Barriuso, JL Gonz̀lez-Carrasco, F G Caballero, ML Lieblich -- Characterization of the Torsional Response of As-cast A359-SiCp-30% at Elevated Temperatures / James DeMarco, Justin Karl, Yongho Sohn, Ali Gordon -- Characterization of Ferrous Metals II. …”
Access E-Book
Full text (Wentworth users only)

Blockchain and Deep Learning for Smart Healthcare

Table of Contents: “…Chapter 13 Energy-Efficient Fog-Assisted System for Monitoring Diabetic Patients with Cardiovascular Disease -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Architectural Design of the Proposed Framework -- 13.4 Fog Services -- 13.4.1 Information Processing -- 13.4.2 Algorithm for Extracting Heart Rate and QT Interval -- 13.4.3 Activity Status Categorization and Fall Detection Algorithm -- 13.4.4 Interoperability -- 13.4.5 Security -- 13.4.6 Implementation of the Framework and Testbed Scenario -- 13.4.7 Sensor Layer Implementation -- 13.5 Smart Gateway and Fog Services Implementation -- 13.6 Cloud Servers -- 13.7 Experimental Results -- 13.8 Future Directions -- 13.9 Conclusion -- References -- Chapter 14 Medical Appliances Energy Consumption Prediction Using Various Machine Learning Algorithms -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Methodology -- 14.3.1 Dataset -- 14.3.2 Data Analysis and Pre-Processing -- 14.3.3 Descriptive Statistics -- 14.3.4 Correlation Matrix -- 14.3.5 Feature Selection -- 14.3.6 Data Scaling -- 14.4 Machine Learning Algorithms Used -- 14.4.1 Multiple Linear Regressor -- 14.4.2 Kernel Ridge Regression -- 14.4.3 Stochastic Gradient Descent (SGD) -- 14.4.4 Support Vector Machine (Support Vector Regression) -- 14.4.5 K-Nearest Neighbor Regressor (KNN) -- 14.4.6 Random Forest Regressor -- 14.4.7 Extremely Randomized Trees Regressor (Extra Trees Regressor) -- 14.4.8 Gradient Boosting Machine/Regressor (GBM) -- 14.4.9 Light GBM (LGBM) -- 14.4.10 Multilayer Perceptron Regressor (MLP) -- 14.4.11 Implementation -- 14.5 Results and Analysis -- 14.6 Model Analysis -- 14.7 Conclusion and Future Work -- References -- Part 3: Future of Blockchain and Deep Learning -- Chapter 15 Deep Learning-Based Smart e-Healthcare for Critical Babies in Hospitals -- 15.1 Introduction -- 15.2 Literature Survey -- 15.2.1 Methodology.…”
Full text (Wentworth users only)

Surface-Functionalized Ceramics : For Biotechnological and Environmental Applications

Table of Contents: “…Liquid-cell AFM -- 4.4 Technical Details About the AFM Imaging Process -- 4.4.1 Properties of Piezo Transducers and the Scanning Process -- 4.4.2 Properties of the Feedback Loops and Resulting Signals -- 4.4.3 Mechanical Stability and Tip Size Effects -- 4.4.4 Image Processing, Analysis and Interpretation -- 4.4.5 Secondary Contrasting Techniques -- 4.4.6 Suitability of Samples and Sample Preparation -- 4.5 Application of AFM for Biotechnological and Environmental Purposes -- 4.5.1 Testing the Surface Charges and Surface Chemistry of Functionalised Ceramics Surfaces -- 4.5.2 AFM for Environmental Applications -- 4.5.3 AFM Biofilm Formation - Microbiology -- 4.6 Conclusions -- References -- Chapter 5 Surface Chemical Analysis of Ceramics and Ceramic-Enhanced Analytics -- 5.1 Introduction -- 5.2 Methods for Surface Chemical Analysis of Ceramics: An Overview -- 5.2.1 Electron Spectroscopy (PES, Auger) -- 5.2.2 X-ray and UV Photoelectron Spectroscopy (XPS and UPS) -- 5.2.3 Auger Spectroscopy -- 5.2.4 Surface Chemical Analysis with XPS and Auger Spectroscopy -- 5.2.5 Secondary Ion Mass Spectrometry (SIMS) -- 5.2.6 Raman and Infrared Spectroscopy -- 5.3 Using Ceramic Colloids and Nanomaterials for Advanced Surface Chemical Analysis -- 5.3.1 Playing with Light Confinement, Morphology-dependent Resonances and Evanescent Fields: Opportunities for Optical Sensing and Vibrational Spectroscopy -- 5.3.2 Surface Sensing by Whispering Gallery Modes.…”
Full text (Wentworth users only)

Encyclopedia of tidepools and rocky shores

Table of Contents: “…Schiel -- Larval history / Nicole Phillips -- Larval settlement, mechanics of / Cheryl Ann Zimmer -- Lichens / Megan N. Dethier -- Light, effects of / Molly Cummings and Sonke Johnsen -- Limpets / George M. …”
Full text (Emerson users only)
Full text (Emmanuel users only)
Full text (NECO users only)
Full text (MCPHS users only)
Access E-Book
Full text (Wentworth users only)

HCI International 2022 – Late Breaking Posters 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part II...

Table of Contents: “…Comparison of Different On-board HMI Communication Strategies for Highly Automated Vehicles Using a LED Light-band to Inform Passengers about Safe Interactions with Multiple Surrounding Traffic Participants -- All-Age Co-creation: A Study of Pedestrian System Service Design from the Perspective of Community Building -- Robots, Agents, and Intelligent Environments -- Impact of Individual Differences on the Adoption of Smart Homes -- A Method to Check that Participants Really are Imagining Artificial Minds when Ascribing Mental States -- Comparison of Innovative Strategy of Smart City in Italy, United Kingdom, United States and Spain -- Impact of Distance and Movement Speed on the Acceptance of Human-Robot Interaction – Method and First Evaluation -- Smartphone-based Input Multimodal Interactions for IoT Environments -- Government Data Processing Mechanism to Support Smart City: A Bibliometric Review -- People-Flows: An Innovative Flow Monitoring and Management System in Urban Environments -- Comparative Study on the Impact of Cultural Background on the Perception of Different Types of Social Robots -- Human-Computer Interaction and Coevolution in Science AI Robotics -- Nordic Study on Public Acceptance of Autonomous Drones -- Architecture of a Network of Low-Frequency Smart Sensors for IoT Applications in Marine Environments -- IoT Monitoring to Control a Bicycle Parking Lot -- Adaptation of a Study Design to the COVID-19 Pandemic Regulations - Evaluation of a Voice-Controlled Robotic Kitchen Assistance System for the Support of Older Adults in Need of Care -- Analysis of Electrical Energy Consumption in the Home using IoT -- Incorporating Affective Proactive Behavior to a Social Companion Robot for Community Dwelling Older Adults -- A Study and Comparative Analysis of the Intelligent Park Operation Platform -- AI in HCI: Methods, Applications, and Studies -- Role of Artificial Intelligence in The Smart City: A Bibliometric Review -- A Comparative Analysis of Reinforcement Learning Approaches to Cryptocurrency Price Prediction -- Explainable Artificial Intelligence (XAI) User Interface Design for Solving a Rubik’s Cube -- Role of AI in Promoting European Accessibility Policy -- Human-Centered Learning Engineering for the Emerging Intelligence Augmentation Economy -- A Skeleton-Based Deep Learning Approach for Recognizing Violent Actions in Surveillance Scenarios -- Consumer Intention to Accept AI-based Products and Services -- From Principled to Applied AI Ethics in Organizations: A Scoping Review -- Does the COVID-19 Pandemic Have Implications for Machine Ethics? …”
Full text (Wentworth users only)
Full text (Wentworth users only)

Pocket guide to diagnostic tests by Nicoll, Diana

Table of Contents: “…Heterophile Antibody -- Histoplasma capsulatum Antigen -- Histoplasma capsulatum Precipitins -- Histoplasma capsulatum CF Antibody -- HIV Antibody -- HIV RNA, Quantitative -- HIV Resistance Testing -- HLA Typing -- HLA-B27 Typing -- Homocysteine -- 5-Hydroxyindoleacetic Acid -- IgG Index -- Immunofixation Electrophoresis -- Immunoglobulins -- Inhibitor Screen (1:1 Mix) -- Insulin Antibody -- Insulin, Immunoreactive -- Insulin-Like Growth Factor-1 -- Intrinsic Factor Blocking Antibody -- Iodine -- Iron -- Iron-Binding Capacity -- Islet Cell Antibodies -- JAK2 (V617F) Mutation -- Kappa and Lambda Free Light Chains -- Lactate Dehydrogenase -- Lactate -- Lead -- Legionella Antibody -- Leukemia/Lymphoma Phenotyping by Flow Cytometry -- Lipase -- Luteinizing Hormone -- Lyme Disease Antibody -- Magnesium -- Mean Corpuscular Hemoglobin -- Mean Corpuscular Hemoglobin Concentration -- Mean Corpuscular Volume -- Metanephrines, Free (Unconjugated), Plasma -- Metanephrines -- Methanol -- Methemoglobin -- MTHFR Mutation -- Methylmalonic Acid -- Metyrapone Test (Overnight) -- ₀ø2-Microglobulin -- Mitochondrial antibodies -- Neutrophil Cytoplasmic Antibodies -- N-Telopeptide, Cross-Linked -- Nuclear Antibody -- Oligoclonal Bands -- Osmolality, Serum -- Osmolality, Urine -- Osteocalcin -- Oxygen, Partial Pressure -- Pancreatic Elastase -- Parathyroid Hormone -- Parathyroid Hormone-Related Protein -- Partial Thromboplastin Time -- pH -- Phosphorus -- Platelet Antibodies -- Platelet Count -- Platelet Function Assay -- Porphobilinogen -- Potassium -- Procalcitonin -- Prolactin -- Prostate-Specific Antigen -- Protein C -- Protein Electrophoresis -- Protein S -- Protein, Total -- Prothrombin Time -- Q Fever Antibody -- QuantiFERON-TB (Interferon-Gamma Releasing Assay) -- Rapid Plasma Reagin -- Red Blood Cell Count -- Renin Activity -- Reticulocyte Count -- Rh(D) Typing -- Rheumatoid factor -- Ribonucleoprotein Antibody -- Rubella Antibody -- Russell Viper Venom Time (dRVVT) -- Salicylate -- Scleroderma-Associated Antibody -- Semen Analysis -- Smith (Anti-Sm) Antibody -- Smooth Muscle Antibodies -- Sodium -- Somatostatin -- SS-A/Ro Antibody -- SS-B/La Antibody -- T-Cell Receptor Gene Rearrangement -- Testosterone -- Thrombin Time -- Thyroglobulin -- Thyroglobulin Antibody -- Thyroid Peroxidase Antibody -- Thyroid-Stimulating Hormone -- Thyroid Stimulating Immunoglobulin -- Thyroxine, Total -- Thyroxine, Free -- Toxoplasma Antibody -- Transferrin -- Transferrin Receptor, Soluble -- Treponema pallidum -- Triglycerides -- Triiodothyronine -- Troponin-I, Cardiac -- Tularemia Agglutinins -- Type and Crossmatch -- Type and Screen -- Uric Acid -- Vanillylmandelic Acid -- VDRL Test, Serum -- VDRL Test, CSF -- Vitamin B12 -- Vitamin D, 25-Hydroxy -- Vitamin D, 1,25-Dihydroxy -- von Willebrand Factor -- White Blood Cell Count and Differential -- Drugs -- Abbreviations and Acronyms -- Underlying Assumptions -- Indications for Drug Monitoring -- Situations in Which Drug Monitoring May Not Be Useful -- Other Information Required for Effective Drug Monitoring -- Pharmacokinetic Parameters -- Genetic Influences on Therapeutic Drug Response -- Clinical Use of Pharmacogenetic Testing -- References -- Microbiology -- Abbreviations and Acronyms -- How to Use This Section -- Central Nervous System -- Eye -- Ear -- Sinus -- Upper Airway -- Lung -- Heart and Vessels -- Abdomen -- Genitourinary -- Bone -- Joint -- Muscle -- Skin -- Blood -- Avian Influenza A/H5N1 and Novel H1N1 Influenza A -- Human Metapneumovirus (huMPV) -- Human Monkeypox -- Severe Acute Respiratory Syndrome-Coronavirus A (SARS-CoA) -- West Nile Virus (WNV) -- Mumps -- Transmissible Spongiform (TSE) -- Lyme Disease.…”
Access E-Book

Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries

Table of Contents: “…Extreme Development of Dragon Fruit Agriculture with Nighttime Lighting in Southern Vietnam (Shenyue Jia, Son V. Nghiem, Seung-Hee Kim, Laura Krauser, Andrea E. …”
Full text (Wentworth users only)

Corrosion Science by Kumar, N. Suresh

Table of Contents: “…Urethane Type -- 6.4. Ultraviolet Light Curable Coatings -- 6.5. Silicone Type Coatings -- 7. …”
Full text (Emmanuel users only)
Full text (NECO users only)
Full text (MCPHS users only)
Full text (Wentworth users only)

Distributed fiber sensing and dynamic ratings of power cable by Cherukupalli, Sudhakar Ellapragada, 1954-, Anders, George J.

Table of Contents: “…Preface xiii -- Acknowledgments xvi -- 1 Application of Fiber Optic Sensing 1 -- 1.1 Types of Available FO Sensors 2 -- 1.2 Fiber Optic Applications for Monitoring of Concrete Structures 4 -- 1.3 Application of FO Sensing Systems in Mines 7 -- 1.4 Composite Aircraft Wing Monitoring 8 -- 1.5 Application in the Field of Medicine 9 -- 1.6 Application in the Power Industry 9 -- 1.6.1 Brief Literature Review 10 -- 1.6.2 Monitoring of Strain in the Overhead Conductor of Transmission Lines 15 -- 1.6.3 Temperature Monitoring of Transformers 16 -- 1.6.4 Optical Current Measurements 17 -- 1.7 Application for Oil, Gas, and Transportation Sectors 17 -- 2 Distributed Fiber Optic Sensing 20 -- 2.1 Introduction 20 -- 2.2 Advantages of the Fiber Optic Technology 20 -- 2.3 Disadvantages of the Distributed Sensing Technology 22 -- 2.4 Power Cable Applications 23 -- 3 Distributed Fiber Optic Temperature Sensing 26 -- 3.1 Fundamental Physics of DTS Measurements 26 -- 3.1.1 Rayleigh Scattering 26 -- 3.1.2 Raman Spectroscopy 27 -- 3.1.3 Brillouin Scattering 27 -- 3.1.4 Time and Frequency Domain Reflectometry 30 -- 4 Optical Fibers, Connectors, and Cables 32 -- 4.1 Optical Fibers 32 -- 4.1.1 Construction of the Fiber Optic Cable and Light Propagation Principles 33 -- 4.1.2 Protection and Placement of Optical Fibers in Power Cable Installations 38 -- 4.1.3 Comparison of Multiple and Single-Mode Fibers 44 -- 4.2 Optical Splicing 45 -- 4.3 Fiber Characterization 47 -- 4.4 Standards for Fiber Testing 55 -- 4.4.1 Fiber Optic Testing 56 -- 4.4.2 Fiber Optic Systems and Subsystems 56 -- 4.5 Optical Connectors 68 -- 4.6 Utility Practice for Testing of Optical Fibers 74 -- 4.7 Aging and Maintenance 75 -- 5 Types of Power Cables and Cable with Integrated Fibers 77 -- 5.1 Methods of Incorporating DTS Sensing Optical Fibers (Cables) into Power Transmission Cable Corridors 77 -- 5.1.1 Integration of Optical Cable into Land Power Cables 77 -- 5.1.2 Integration of Optical Cable into Submarine Power Cables 78.…”
Full text (Wentworth users only)

Song of Solomon by Morrison, Toni

Request

Human sexuality : diversity in contemporary America by Yarber, William L. (William Lee), 1943-

Table of Contents: “…-- Advocating Sexual Rights -- Final Thoughts -- Summary -- Questions for Discussion -- Sex and the Internet -- Suggested Websites -- Suggested Reading.…”


Request

Learning Through Practice Models, Traditions, Orientations and Approaches by Billett, Stephen

Table of Contents: “…The Development of Airline Pilot Skills through Simulated Practice -- 15.1 Pilot Training -- 15.2 Early Flight and Pilot Training -- 15.3 Pilot Education in the Jet Age -- 15.4 Influences on Major Aviation Training -- 15.4.1 Crew Resource Management and Nontechnical Skills -- 15.4.2 Technology -- 15.4.3 Simulation -- 15.5 Pilot Training into the Future -- 15.6 Practice-based Learning in Aviation.…”
Full text (Wentworth users only).

Leadership : theory and practice by Northouse, Peter Guy

Table of Contents: “…Noble ; Doctor to the poor ; Servant leadership takes flight -- Leadership instrument : Servant leadership questionnaire -- 11. …”


Request

Design for Safety. by Gullo, Louis J.

Table of Contents: “…16.4 Software FMECA -- 16.5 Examples of Requirements for Software Safety -- 16.6 Example of Numerical Accuracy Where 2 + 2 = 5 -- 16.7 Conclusions -- Acknowledgments -- References -- 17 Lessons Learned -- 17.1 Introduction -- 17.2 Capturing Lessons Learned Is Important -- 17.3 Analyzing Failure -- 17.4 Learn from Success and from Failure -- 17.5 Near Misses -- 17.6 Continuous Improvement -- 17.7 Lessons Learned Process -- 17.8 Lessons Learned Examples -- 17.9 Summary -- References -- Suggestions for Additional Reading -- 18 Special Topics on System Safety -- 18.1 Introduction -- 18.2 Airworthiness and Flight Safety -- 18.3 Statistical Data Comparison Between Commercial Air Travel and Motor Vehicle Travel -- 18.4 Safer Ground Transportation Through Autonomous Vehicles -- 18.5 The Future of Commercial Space Travel -- 18.6 Summary -- References -- Appendix A: Hazards Checklist -- Reference -- Appendix B: System Safety Design Verification Checklist -- Reference -- Index -- End User License Agreement.…”
Full text (Emerson users only)
Full text (Emmanuel users only)
Full text (NECO users only)
Full text (MCPHS users only)
Full text (Wentworth users only)
Full text (Wentworth users only)

Advanced control of power converters : techniques and MATLAB/Simulink implementation by Komurcugil, Hasan, Bayhan, Sertac, Guzman, Ramon (Professor), Malinowski, Mariusz (Electrical engineer), Abu-Rub, Haithem

Table of Contents: “…About the Authors xiii -- List of Abbreviations xvii -- Preface xix -- Acknowledgment xxi -- About the Companion Website xxiii -- 1 Introduction 1 -- 1.1 General Remarks 1 -- 1.2 Basic Closed-Loop Control for Power Converters 3 -- 1.3 Mathematical Modeling of Power Converters 4 -- 1.4 Basic Control Objectives 6 -- 1.4.1 Closed-Loop Stability 6 -- 1.4.2 Settling Time 10 -- 1.4.3 Steady-State Error 11 -- 1.4.4 Robustness to Parameter Variations and Disturbances 12 -- 1.5 Performance Evaluation 12 -- 1.5.1 Simulation-Based Method 12 -- 1.5.2 Experimental Method 13 -- 1.6 Contents of the Book 13 -- References 15 -- 2 Introduction to Advanced Control Methods 17 -- 2.1 Classical Control Methods for Power Converters 17 -- 2.2 Sliding Mode Control 18 -- 2.3 Lyapunov Function-Based Control 22 -- 2.3.1 Lyapunov's Linearization Method 23 -- 2.3.2 Lyapunov's Direct Method 24 -- 2.4 Model Predictive Control 27 -- 2.4.1 Functional Principle 27 -- 2.4.2 Basic Concept 28 -- 2.4.3 Cost Function 29 -- References 30 -- 3 Design of Sliding Mode Control for Power Converters 33 -- 3.1 Introduction 33 -- 3.2 Sliding Mode Control of DC-DC Buck and Cuk Converters 33 -- 3.3 Sliding Mode Control Design Procedure 44 -- 3.3.1 Selection of Sliding Surface Function 44 -- 3.3.2 Control Input Design 46 -- 3.4 Chattering Mitigation Techniques 48 -- 3.4.1 Hysteresis Function Technique 48 -- 3.4.2 Boundary Layer Technique 49 -- 3.4.3 State Observer Technique 50 -- 3.5 Modulation Techniques 51 -- 3.5.1 Hysteresis Modulation Technique 51 -- 3.5.2 Sinusoidal Pulse Width Modulation Technique 52 -- 3.5.3 Space Vector Modulation Technique 53 -- 3.6 Other Types of Sliding Mode Control 54 -- 3.6.1 Terminal Sliding Mode Control 54 -- 3.6.2 Second-Order Sliding Mode Control 54 -- References 55 -- 4 Design of Lyapunov Function-Based Control for Power Converters 59 -- 4.1 Introduction 59 -- 4.2 Lyapunov-Function-Based Control Design Using Direct Method 59 -- 4.3 Lyapunov Function-Based Control of DC-DC Buck Converter 62 -- 4.4 Lyapunov Function-Based Control of DC-DC Boost Converter 67 -- References 71 -- 5 Design of Model Predictive Control 73 -- 5.1 Introduction 73 -- 5.2 Predictive Control Methods 73 -- 5.3 FCS Model Predictive Control 75 -- 5.3.1 Design Procedure 76 -- 5.3.2 Tutorial 1: Implementation of FCS-MPC for Three-Phase VSI 80 -- 5.4 CCS Model Predictive Control 86 -- 5.4.1 Incremental Models 86 -- 5.4.2 Predictive Model 88 -- 5.4.3 Cost Function in CCSMPC 92 -- 5.4.4 Cost Function Minimization 93 -- 5.4.5 Receding Control Horizon Principle 96 -- 5.4.6 Closed-Loop of an MPC System 97 -- 5.4.7 Discrete Linear Quadratic Regulators 97 -- 5.4.8 Formulation of the Constraints in MPC 99 -- 5.4.9 Optimization with Equality Constraints 103 -- 5.4.10 Optimization with Inequality Constraints 105 -- 5.4.11 MPC for Multi-Input Multi-Output Systems 108 -- 5.4.12 Tutorial 2: MPC Design For a Grid-Connected VSI in dq Frame 109 -- 5.5 Design and Implementation Issues 112 -- 5.5.1 Cost Function Selection 112 -- 5.5.1.1 Examples for Primary Control Objectives 113 -- 5.5.1.2 Examples for Secondary Control Objectives 114 -- 5.5.2 Weighting Factor Design 114 -- 5.5.2.1 Empirical Selection Method 115 -- 5.5.2.2 Equal-Weighted Cost-Function-Based Selection Method 116 -- 5.5.2.3 Lookup Table-Based Selection Method 117 -- References 118 -- 6 MATLAB/Simulink Tutorial on Physical Modeling and Experimental Setup 121 -- 6.1 Introduction 121 -- 6.2 Building Simulation Model for Power Converters 121 -- 6.2.1 Building Simulation Model for Single-Phase Grid-Connected Inverter Based on Sliding Mode Control 122 -- 6.2.2 Building Simulation Model for Three-Phase Rectifier Based on Lyapunov-Function-Based Control 126 -- 6.2.3 Building Simulation Model for Quasi-Z Source Three-Phase Four-Leg Inverter Based on Model Predictive Control 131 -- 6.2.4 Building Simulation Model for Distributed Generations in Islanded AC Microgrid 137 -- 6.3 Building Real-Time Model for a Single-Phase T-Type Rectifier 142 -- 6.4 Building Rapid Control Prototyping for a Single-Phase T-Type Rectifier 154 -- 6.4.1 Components in the Experimental Testbed 155 -- 6.4.1.1 Grid Simulator 155 -- 6.4.1.2 A Single-Phase T-Type Rectifier Prototype 156 -- 6.4.1.3 Measurement Board 157 -- 6.4.1.4 Programmable Load 158 -- 6.4.1.5 Controller 158 -- 6.4.2 Building Control Structure on OP- 5707 158 -- References 162 -- 7 Sliding Mode Control of Various Power Converters 163 -- 7.1 Introduction 163 -- 7.2 Single-Phase Grid-Connected Inverter with LCL Filter 163 -- 7.2.1 Mathematical Modeling of Grid-Connected Inverter with LCL Filter 164 -- 7.2.2 Sliding Mode Control 165 -- 7.2.3 PWM Signal Generation Using Hysteresis Modulation 168 -- 7.2.3.1 Single-Band Hysteresis Function 168 -- 7.2.3.2 Double-Band Hysteresis Function 168 -- 7.2.4 Switching Frequency Computation 170 -- 7.2.4.1 Switching Frequency Computation with Single-Band Hysteresis Modulation 170 -- 7.2.4.2 Switching Frequency Computation with Double-Band Hysteresis Modulation 171 -- 7.2.5 Selection of Control Gains 172 -- 7.2.6 Simulation Study 174 -- 7.2.7 Experimental Study 177 -- 7.3 Three-Phase Grid-Connected Inverter with LCL Filter 180 -- 7.3.1 Physical Model Equations for a Three-Phase Grid-Connected VSI with an LCL Filter 181 -- 7.3.2 Control System 182 -- 7.3.2.1 Reduced State-Space Model of the Converter 183 -- 7.3.2.2 Model Discretization and KF Adaptive Equation 187 -- 7.3.2.3 Sliding Surfaces with Active Damping Capability 188 -- 7.3.3 Stability Analysis 189 -- 7.3.3.1 Discrete-Time Equivalent Control Deduction 189 -- 7.3.3.2 Closed-Loop System Equations 191 -- 7.3.3.3 Test of Robustness Against Parameters Uncertainties 192 -- 7.3.4 Experimental Study 192 -- 7.3.4.1 Test of Robustness Against Grid Inductance Variations 192 -- 7.3.4.2 Test of Stability in Case of Grid Harmonics Near the Resonance Frequency 196 -- 7.3.4.3 Test of the VSI Against Sudden Changes in the Reference Current 196 -- 7.3.4.4 Test of the VSI Under Distorted Grid 198 -- 7.3.4.5 Test of the VSI Under Voltage Sags 198 -- 7.3.5 Computational Load and Performances of the Control Algorithm 199 -- 7.4 Three-Phase AC-DC Rectifier 200 -- 7.4.1 Nonlinear Model of the Unity Power Factor Rectifier 200 -- 7.4.2 Problem Formulation 202 -- 7.4.3 Axis-Decoupling Based on an Estimator 203 -- 7.4.4 Control System 205 -- 7.4.4.1 Kalman Filter 206 -- 7.4.4.2 Practical Considerations: Election of Q and R Matrices 208 -- 7.4.4.3 Practical Considerations: Computational Burden Reduction 208 -- 7.4.5 Sliding Mode Control 209 -- 7.4.5.1 Inner Control Loop 209 -- 7.4.5.2 Outer Control Loop 210 -- 7.4.6 Hysteresis Band Generator with Switching Decision Algorithm 212 -- 7.4.7 Experimental Study 215 -- 7.5 Three-Phase Transformerless Dynamic Voltage Restorer 224 -- 7.5.1 Mathematical Modeling of Transformerless Dynamic Voltage Restorer 224 -- 7.5.2 Design of Sliding Mode Control for TDVR 225 -- 7.5.3 Time-Varying Switching Frequency with Single-Band Hysteresis 227 -- 7.5.4 Constant Switching Frequency with Boundary Layer 229 -- 7.5.5 Simulation Study 231 -- 7.5.6 Experimental Study 233 -- 7.6 Three-Phase Shunt Active Power Filter 240 -- 7.6.1 Nonlinear Model of the SAPF 240 -- 7.6.2 Problem Formulation 242 -- 7.6.3 Control System 243 -- 7.6.3.1 State Model of the Converter 243 -- 7.6.3.2 Kalman Filter 245 -- 7.6.3.3 Sliding Mode Control 246 -- 7.6.3.4 Hysteresis Band Generator with SDA 247 -- 7.6.4 Experimental Study 248 -- 7.6.4.1 Response of the SAPF to Load Variations 249 -- 7.6.4.2 SAPF Performances Under a Distorted Grid 253 -- 7.6.4.3 SAPF Performances Under Grid Voltage Sags 254 -- 7.6.4.4 Spectrum of the Control Signal 254 -- References 257 -- 8 Design of Lyapunov Function-Based Control of Various Power Converters 261 -- 8.1 Introduction 261 -- 8.2 Single-Phase Grid-Connected Inverter with LCL Filter 261 -- 8.2.1 Mathematical Modeling and Controller Design 261 -- 8.2.2 Controller Modification with Capacitor Voltage Feedback 264 -- 8.2.3 Inverter-Side Current Reference Generation Using Proportional- Resonant Controller 264 -- 8.2.4 Grid Current Transfer Function 266 -- 8.2.5 Harmonic Attenuation and Harmonic Impedance 267 -- 8.2.6 Results 270 -- 8.3 Single-Phase Quasi-Z-Source Grid-Connected Inverter with LCL Filter 277 -- 8.3.1 Quasi-Z-Source Network Modeling 277 -- 8.3.2 Grid-Connected Inverter Modeling 280 -- 8.3.3 Control of Quasi-Z-Source Network 281 -- 8.3.4 Control of Grid-Connected Inverter 281 -- 8.3.5 Reference Generation Using Cascaded PR Control 282 -- 8.3.6 Results 283 -- 8.4 Single-Phase Uninterruptible Power Supply Inverter 287 -- 8.4.1 Mathematical Modeling of Uninterruptible Power Supply Inverter 287 -- 8.4.2 Controller Design 288 -- 8.4.3 Criteria for Selecting Control Parameters 290 -- 8.4.4 Results 292 -- 8.5 Three-Phase Voltage-Source AC-DC Rectifier 298 -- 8.5.1 Mathematical Modeling of Rectifier 298 -- 8.5.2 Controller Design 301 -- 8.5.3 Results 304 -- References 307 -- 9 Model Predictive Control of Various Converters 309 -- 9.1 CCS MPC Method for a Three-Phase Grid-Connected VSI 309 -- 9.1.1 Model Predictive Control Design 310 -- 9.1.1.1 VSI Incremental Model with an Embedded Integrator 310 -- 9.1.1.2 Predictive Model of the Converter 311 -- 9.1.1.3 Cost Function Minimization 312 -- 9.1.1.4 Inclusion of Constraints 313 -- 9.1.2 MATLAB ? …”
Full text (Wentworth users only)

Comprehensive Ruby Programming. by Hudgens, Jordan

Full text (Emerson users only)
Full text (Emmanuel users only)
Full text (NECO users only)
Full text (MCPHS users only)
Full text (Wentworth users only)

Smashing WordPress : beyond the blog by Hedengren, Thord Daniel, 1980-

Table of Contents: “…IV Additional Features and Functionality -- ch. 10 WordPress as a CMS -- Is WordPress the Right Choice for Your CMS? -- WordPress CMS Checklist.…”
Full text (Wentworth users only)

Phakic IOLs : state of the art by Buratto, Lucio, Slade, Stephen, 1953-, Hauranieh, Nicola D.

Table of Contents: “…ContentsDedicationAcknowledgmentsAbout the AuthorsContributing AuthorsIntroductionPart I: History of Phakic IOLsChapter 1 Indications for ImplantationLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 2 ContraindicationsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 3 Patient SelectionLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 4 Preoperative DiagnosticsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 5 Instrumental DiagnosticsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 6 Optic Zone and the PupilLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 7 Calculation of the Power of the Phakic IOLLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 8 Choice of AnesthesiaLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 9 Historical Models of IOLsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 10 Current Models of IOLsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 11 Anterior Chamber IOL With Angle Support: AcrySof Cachet (Alcon)Lucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 12 Anterior Chamber IOL With Iris Fixation: Verisyse (AMO)/Artisan (OPHTEC)Lucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 13 Foldable Anterior Chamber IOL for Iris Fixation: Veriflex (AMO)/Artiflex (OPHTEC)Lucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 14 Phakic IOL for the Posterior Chamber: Implantable Contact Lens (STAAR)Lucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 15 Phakic IOL for the Posterior Chamber: Phakic Refractive Lens (Carl Zeiss Meditec)Lucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 16 Therapy and Postoperative Control of Phakic IOLsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 17 Postoperative ComplicationsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 18 Astigmatism and Phakic IOLsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 19 The Use of Bioptics for Residual Sphere or AstigmatismLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 20 Comparison Between Phakic IOLs and LASIKLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 21 Long-Term ResultsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDChapter 22 The Future of Phakic IOLsLucio Buratto, MD; Stephen Slade, MD, FACS; and Nicola Hauranieh, MDReferences for Part IPart IIChapter 23 Veriflex: Pearls for the Implantation and for the Right Position and Surgical ResultsJos u00e9 L. G u00fcell, MD; Merce Morral, PhD; Daniel Elies, MD; Oscar Gris, MD; and Felicidad Manero, MDChapter 24 The Implantable Collamer Lens Implantation TechniqueGregory D. …”
Full text (Wentworth users only)