Synthesis and Colloquium Digital Libraries Update

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.
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
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