This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction…
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known a…
This book covers all the steps in order to fabricate a lab-on-a-chip device starting from the idea, the design, simulation, fabrication and final evaluation. Additionally, it includes basic theory on microfluidics essential to understand how fluids behave at such reduced scale. Examples of successful histories of lab-on-a-chip systems that made an impact in fields like biomedicine and life scie…
This brief presents a stochastic microscopic mobility model that describes the temporal changes of intervehicle distances. The model is consistent with simulated and empirical vehicle traffic patterns. Using stochastic lumpability methods, the proposed mobility model is mapped into an aggregated mobility model that describes the mobility of a group of vehicles. In addition, the proposed mobilit…
Modern Technologies for Landslide Investigation and Prediction presents eleven contributed chapters from Chinese and Italian authors, as a follow-up of a bilateral workshop held in Shanghai on September 2013. Chapters are organized in three main parts: ground-based monitoring techniques (photogrammetry, terrestrial laser scanning, ground-based InSAR, infrared thermography, and GNSS networks), g…
Describes innovative approaches for achieving mixed-reality environments, combining augmented and virtual environments with full-body immersive user interfaces; Offers cost-effective means of body motion capture by hybridizing wearable sensor data; Utilizes energy-efficient micro-embedded sensors for wearable sensing applications; Includes innovative, power autonomous sensing using Bod…
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution w…
Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including numerical advice and a profusion of examples. The examples are engaging analyses of real-world prob…
Prof. M.V. Hariharan is Gold Medal awardee for his performance in B.Tech in the entire state of Madras (1954) and a UNESCO scholar (1959). He has been a popular faculty at IIT Bombay, Mumbai (1962 – 93) and is known for his down-to-earth teaching methods. He has been Visiting Professor at University of Manitoba, Canada (1987) and at University of Western Ontario London, Canada (1988). He was …
Microorganisms play an important role in the maintenance of the ecosystem structure and function. Bacteria constitute the major part of the microorganisms and possess tremendous potential in many important applications from environmental clean up to the drug discovery. Much advancement has been taken place in the field of research on bacterial systems. This book summarizes the experimental setu…