|
Title: |
Advances in Engineering Research |
| Sub-title: |
Volume 17 |
Search Result:
| Edited by: |
Victoria M Petrova |
| ISBN10-13: |
1536110396 : 9781536110395 |
| Format: |
Hardback |
| Size: |
230x155mm |
| Pages: |
260 |
| Weight: |
.498 Kg. |
| Published: |
Nova Science Publishers, Inc - April 2017 |
| List Price: |
256.99 Pounds Sterling |
| Availability: |
In Stock
Qty Available: 1 |
| Subjects: |
Engineering: general |
| This book focuses on the latest developments in the field of engineering. Chapter One reviews terrain classification using single-pol synthetic aperture radars. Chapter Two analyzes Radio Frequency Identification (RFID) corrosion monitoring sensors. Chapter Three examines the concept of emergence in agent-based modeling and simulation by modeling several types of agent-based systems and examining simulations for potential emergent phenomena. Chapter Four discusses a mathematical modeling technique traditionally referred to as agent based modeling (ABM) but for purposes here, referred to as Zombie Based Modeling (ZBM). Chapter Five focuses on Quantum Key Distribution (QKD) assistant procedures for future optical communication systems. Chapter Six provides intervention strategies for the operationalisation process of building maintenance regarding the design stages. Chapter Seven assesses the performance of auditorium acoustics. Chapter Eight reviews multivariate statistical factor and cluster analysis on selecting the optimum method for the recycling of kitchen waste. |
| Table of Contents: |
| Preface; Terrain Classification Using Single-Pol Synthetic Aperture Radar; RFID Corrosion Monitoring Sensors: An Application of the Electromagnetic Interference (EMI) Shielding Principle; Exploring Emergence in Simple Agent-Based Models; Zombie-Based Modeling; QKD Assistant Procedures for Future Optical Communication Systems; How to Maintain Buildings: Intervention Strategies for the Operationalization Process of Building Maintenance Regarding the Design Stages; The Assessment of Auditoriums' Acoustic Performances; Multivariate Statistical Factor & Cluster Analysis on Selecting the Optimum Method for the Recycling of Kitchen Wastes; Index. |
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