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Advances in engineering research. Volume 13 /
This book covers leading-edge research in a cross-section of fields centering on engineering applications including current research data on graphene as a solid state diffusion barrier for microelectronics; improvements of reinforced silica aerogel nanocomposites thermal properties for architecture...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Nova Science Publishers, Inc.,
[2016]
|
| Colección: | Advances in engineering research.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Advances in engineering research. |n Volume 13 / |c Victoria M. Petrova, editor. |
| 264 | 1 | |a New York : |b Nova Science Publishers, Inc., |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Advances in engineering research | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed June 23, 2015). | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a This book covers leading-edge research in a cross-section of fields centering on engineering applications including current research data on graphene as a solid state diffusion barrier for microelectronics; improvements of reinforced silica aerogel nanocomposites thermal properties for architecture applications; a selective mapping from orthogonal variability model to constraint satisfaction problem; modelling enterprise application integration solutions; application of hybrid particle swarm optimization algorithms to inverse radiation problems; compliant shape memory alloy actuator design, mo. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a ADVANCES IN ENGINEERING RESEARCH: VOLUME 13; ADVANCES IN: ENGINEERING RESEARCH: VOLUME 13; Library of Congress Cataloging-in-Publication Data; CONTENTS; PREFACE; Chapter 1: TRAJECTORY PLANNING; Abstract; 1. Background of Trajectory Planning Problem; 1.1. Problem; 1.2. Motion Equation and State of Robot; 2. Solvers; 2.1. Full Search Algorithm; 2.2. Randomized Kynodynamic Planning; 2.3. RASMO; 2.4. LPUSS; Conclusion; References; Chapter 2: IMAGE TRACKING OF A HUMANOID ROBOT BASED ON VISUAL SERVING; ABSTRACT; INTRODUCTION; 1. HUMANOID ROBOT SYSTEM ARCHITECTURE. | |
| 505 | 8 | |a 2. STEREO VISION SYSTEM OF THE HUMANOID ROBOT3. KINEMATICS ANALYSIS OF HUMANOID ROBOT ARM; 4. THE TARGET OBJECT TRACKING AND POSITION; 5. THE REALIZATION OF THE VISION TRACKING; 6. POSITION AND TRACKING EXPERIMENTS; CONCLUSION; ACKNOWLEDGMENT; REFERENCES; Chapter 3: DEVELOPMENT OF A MECHATRONIC SYSTEM FOR BEDRIDDEN PEOPLE SUPPORT; ABSTRACT; 1. INTRODUCTION; 1.1. Context; 1.2. Motivation; 1.3. Aim; 2. STATE OF ART; 2.1. Target Population; 2.2. Scenario of the Caregiver; 2.3. Ambient Assisted Living (AAL); 2.4. Assistive Technology; 2.5. Existing Equipment; 2.5.1. Safety-Related Equipment. | |
| 505 | 8 | |a 2.5.2. Comfort-Related Equipment2.5.3. Mobility-Related Equipment; 2.5.4. Hygiene-Related Equipment; 2.5.5. Value Analysis of Existing Equipment; 2.5.6. The Hold of the Analysis; 3. METHODOLOGY OF PROJECT; 4. FINAL REMARKS; REFERENCES; Chapter 4: COMBAT AUTONOMOUS ARTIFICIAL INTELLIGENCE AND THE FUTURE OF CIVILISATION; ABSTRACT; INTRODUCTION; THE ABILITY OF DEVELOPED COUNTRIES TO WITHSTAND EXTERNAL AGGRESSION IN THE 21ST CENTURY; THE CREATION OF FIGHTING ROBOT ARMIES -- A NECESSARY CONDITION FOR THE SURVIVAL OF THE DEVELOPED COUNTRIES IN THE 21ST CENTURY; CONCLUSION; REFERENCES. | |
| 505 | 8 | |a Chapter 5: APPLYING PETRI NETS TO MODELING OF COMPLEX SYSTEMS DIAGNOSISABSTRACT; INTRODUCTION; UTILIZATION OF MUTUAL TESTING IN COMPLEX SYSTEMS; APPROACHES TO MODELING OF MUTUAL TESTING; BASICS OF PETRI NETS; APPLYING PETRI NETS TO MODELING OF MUTUAL TESTING; SIMULATION RESULTS; CONCLUSION; REFERENCES; Chapter 6: SEMANTIC PROCESS MINING TOWARDS THE DISCOVERY AND ENHANCEMENT OF LEARNING MODELS ANALYSIS; ABSTRACT; 1. INTRODUCTION; 2. SYSTEM OVERVIEW; 2.1. Learning Process Example; 3. LEARNING PROCESS MINING IN ACTION; 3.1. Learning Process Mapping; 4. SEMANTIC LEARNING PROCESS MINING. | |
| 505 | 8 | |a 4.1. Semantic Annotation of Learning Workflow Library4.2. Semantic Modellig: Ontological Representation of Learning Workflow Sequence with BPMN and Learning Activity Concepts; 4.3. Using Semantic Rules and Description Logic Queries to Discover and Enhance Patterns within the Learning Model; 4.4. Querying of Learning Process Parameters/Real World Question Answering Using Description Logic (DL) Queries; 5. SLPM -- AUTOMATED LEARNING ALGORITHM; 6. RELATED WORKS; CONCLUSION; REFERENCES; Chapter 7: TO EXPLORE WAYS TO MAKE TSHD MORE DREDGING EFFICIENCY; ABSTRACT; 1. INTRODUCTION. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
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| 650 | 7 | |a Engineering. |2 fast |0 (OCoLC)fst00910312 | |
| 700 | 1 | |a Petrova, Victoria M., |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Advances in engineering research. Volume 13. |d New York : Nova Science Publishers, Inc., [2016] |z 9781634854160 |
| 830 | 0 | |a Advances in engineering research. | |
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