Advances in Automotive Technology

Authors:  Zhilin Jin & Jingxuan Li, Nanjing University of Aeronautics & Astronautics

Bin Li, Aptiv PLC

Keywords: vehicle rollover, dynamic stability, tripped rollover, rollover index, rollover warning, anti-roll control, active safety of vehicle

Abstract: In this book, different dynamic models are used to describe the vehicle rollover under both untripped and special tripped situations. From the vehicle dynamics theory, rollover indices are deduced, and the dynamic stabilities of vehicle rollover are analyzed. In addition, some active control strategies are discussed to improve the anti-rollover performance of the vehicle. > Download eBook PDF

Biomedical Engineering

Authors:  William E. Schiesser, Lehigh University

Keywords: communicable disease, influenza, computer-based mathematical model, partial differential equation (PDE), method of lines (MOL), R coding, spatiotemporal solutions, traveling wave solutions

Abstract: This book has a two-fold purpose: (1) An introduction to the computer-based modeling of influenza, a continuing major worldwide communicable disease. (2) The use of (1) as an illustration of a methodology for the computer-based modeling of communicable diseases. > Download eBook PDF

Data Management

Authors: Daniel C. M. de Oliveira, Universidade Federal Fluminense

Ji Liu & Esther Pacitti, University of Montpellier, Inria & CNRS

Keywords: scientific workflows, cloud computing, Data-Intensive Scalable Computing, data provenance, Apache Spark

Abstract: In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments. We start by discussing the basic principles of data-intensive scientific workflows. Next, we present two workflows that are executed in a single site and multi-site clouds taking advantage of provenance. Afterward, we go towards workflow management in DISC environments, and we present, in detail, solutions that enable the optimized execution of the workflow using frameworks such as Apache Spark and its extensions. > Download eBook PDF

Distributed Computing Theory

Authors: Dimitris Sakavalas & Lewis Tseng, Boston College

Keywords: consensus, network topology, message-passing systems, asynchronous systems, synchronous systems, topological conditions, broadcast, reliable message transmission, local adversary, general adversary

Abstract: We summarize studies on the topological conditions that determine the feasibility of consensus, mainly focusing on directed networks and the case of restricted topology knowledge at each participant. Recently, significant efforts have been devoted to fully characterize the underlying communication networks in which variations of fault-tolerant consensus can be achieved. Although the deduction of analogous topological conditions for undirected networks of known topology had shortly followed the introduction of the problem, their extension to the directed network case has been proven a highly non-trivial task.

Engineering

Authors: Nadia Kellam & Brooke Coley, Arizona State University

Audrey Boklage, University of Texas at Austin

Keywords: engineering teaching journeys, engineering teaching stories, innovative engineering teaching, engineering active learning, narrative interviews of engineering faculty

Abstract: The journey to becoming an exemplary engineering educator is one that is rarely simple and straightforward. Simply being exposed to active learning strategies or innovative pedagogies rarely leads to a transformation of one’s own teaching. In this book, we present a collection of stories from exemplary engineering educators that are told in their own voices.

Human-Centered Informatics

Authors: Stephen C. Hirtle, University of Pittsburgh

Keywords: cognitive maps, Geographic Information Science, GIScience, Geographic Information Systems, GIS, Global Positioning Systems, GPS, information visualization, landmarks, maps, navigation, privacy, regions, routes, social networks, spatial awareness

Abstract: This book describes the interplay between spatial cognition research and use of spatial interfaces. It begins by reviewing what is known about how humans process spatial concepts and then moves on to discuss how interfaces can be improved to take advantage of those capabilities by disambiguating cognitive aspects, conceptual aspects, computational aspects, and communications aspects. Special attention is given to a variety of innovative geographical platforms that provide users with an intuitive understanding and support the further acquisition of spatial knowledge. > Download eBook PDF

Information Concepts, Retrieval, and Services

Authors: Omar Alonso, Microsoft

Keywords: human computation, crowdsourcing, crowd computing, labeling, ground truth, data pipelines, wetware programming, hybrid human-machine computation, human-in-the-loop

Abstract:  Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels. > Download eBook PDF

Mechanical Engineering

Authors: Shima Ghanavati Nasab & Abolfazl Semnani, University of Shahrekord

Mehdi Javaheran Yazd, Islamic Azad University

Homa Kahkesh, Shahid Chamran University of Ahvaz

Navid Rabiee & Mojtaba Bagherzadeh, Sharif University of Technology

Mohammad Rabiee, Amirkabir University of Technology

Keywords: corrosion, corrosion inhibitors, adsorption, organic compounds, renewable sources

Abstract:  Regarding the vast use of chemical components in different human activities, they are susceptible to corrosion because of contact with aggressive environments. Therefore, the use of inhibitors for the control of corrosion of chemical components in corrosive media is an urgent affair. Numerous investigations were carried out and are still being done to study the corrosion inhibition potential of organic compounds. > Download eBook PDF

Signal Processing

Authors: Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, & Cihan Tepedelenlioglu, Arizona State University

Keywords: compressed sensing, sparse representations, track-before-detect, deep learning, surveillance

Abstract: Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. > Download eBook PDF