Showing papers by "Lakhmi C. Jain published in 2021"

Introduction to Big Data and Data Science: Methods and Applications

Abstract: Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. In this chapter we discuss big data and data science to establish a context for the state-of-the-art technologies and applications in this book. In addition, to provide a starting point for new researchers, we present an overview of big data management and analytics methods. Finally, we suggest opportunities for future research.

Architecting the digital transformation: An introduction

Abstract: This chapter presents an introduction to the emerging trends for architecting the digital transformation having a strong focus on digital products, intelligent services, and related systems together with methods, models and architectures. The primary aim of this book is to highlight some of the most recent research results in the field. We are providing a focused set of brief descriptions of the chapters included in the book.

Applied Mathematics and Mechanics in Aerospace Industry

Abstract: The chapter contains a brief description of chapters that contribute to the development and applications of computational methods and algorithms in different areas of gas, fluid, and plasma dynamics, solid mechanics, dynamic systems and optimal control, information technology. The first part presents the recent advances in computational fluid dynamics. The second part introduces numerical simulation of plasma and multiphase flows. The third part is devoted to computational solid mechanics, the fourth part provides a numerical study of dynamic systems and the fifth part focuses on information technology and artificial intelligence.

Classification of Pilot Attentional Behavior Using Ocular Measures

Abstract: Revolutionary growth in technology has changed the way humans interact with machines. This can be seen in every area, including air transport. For example, countries such as United States are planning to deploy NextGen technology in all fields of air transport. The main goals of NextGen are to enhance safety, performance and to reduce impacts on environment by combining new and existing technologies. Loss of Situation Awareness (SA) in pilots is one of the human factors that affects aviation safety. There has been a significant research on SA indicating that pilot’s perception error leading to loss of SA is a one of the major causes of accidents in aviation. However, there is no system in place to detect these errors. Monitoring visual attention is one of the best mechanisms to determine a pilot’s attention and hence perception of a situation. Therefore, this research implements computational models to detect pilot’s attentional behavior using ocular data during instrument flight scenario and to classify overall attention behavior during instrument flight scenarios.

Recent Advances in Numerical Methods, Machine Learning, and Computer Science

Abstract: The chapter presents a brief description of chapters that contribute to the recent advances in numerical methods in continuum mechanics, computational physics Also, this chapter deals with machine learning and computer science The fourth part of the book presents novel computational methods in continuum mechanics Modern methods in mathematical physics are presented in the fifth part of the book The sixth part of the book deals with machine learning Computer science is discussed in the seventh part of the book

Deep Learning for Fire and Smoke Detection in Outdoor Spaces

Abstract: Recent investigations in deep learning provide a new approach for fire and smoke detection in outdoor spaces Fire and smoke detection is an additional function in smart urban surveillance, as well as, in wildlife monitoring using stationary cameras or UAV cameras Smoke detection plays an important role in a fire alarm The algorithms based on the traditional machine learning techniques show high values of errors that cause additional economic costs Deep learning techniques solve this problem partly but raise new challenges In this chapter, we analyze deep learning models applicable for this task and present a Weaved Recurrent Single Shot Detector (WRSSD) for early smoke detection with acceptable error ratios

Recent Advances in Computational Physics

Abstract: The chapter presents a brief description of chapters that contribute to the recent advances in computational physics in different areas, i.e., computational aerodynamics, hydrodynamics, dynamics of plasma, solid mechanics, elastic and acoustic wave phenomena, seismic prospecting, seismic resistance, train movement, medicine, and biology. The first part of the book is devoted to the numerical solutions of problems of aerodynamics, hydrodynamics, and dynamics of plasma. The second part of the book deals with numerical methods and its applications in the area of solid mechanics. The third part of the book covers computational methods in medicine and biology.