Recent Submissions

  • A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy Technologies

    Giancola, Silvio; Valenti, Matteo; Sala, Remo (SpringerBriefs in Computer Science, Springer International Publishing, 2018-06-19) [Book]
    This book is a valuable resource to deeply understand the technology used in 3D cameras. In this book, the authors summarize and compare the specifications of the main 3D cameras available in the mass market. The authors present a deep metrological analysis of the main camera based on the three main technologies: Time-of-Flight, Structured-Light and Active Stereoscopy, and provide qualitative results for any user to understand the underlying technology within 3D camera, as well as practical guidance on how to get the most of them for a given application.
  • Membrane Technologies for Water Treatment

    Mahmoudi, Hacene; Ghaffour, NorEddine; Goosen, Mattheus (CRC Press, 2018-02-25) [Book]
    Depending on the region and the geology, untreated water may contain, naturally occurring toxic elements, such as arsenic (As), uranium (U) and fluoride (F−). These elements, which are considered as extremely poisonous, are directly transmitted to people when the untreated water is used for drinking, food preparation, recreation, or for various domestic purposes (Bhatnagar et al., 2011; Iakovleva and Sillanpää, 2013; Nordstrom, 2002). As a result millions of people around the world are threatened by F−, As and U contamination. There is, thus, a need for low-cost and proven technologies that can effectively treat polluted water especially in developing countries. In this chapter, novel and conventional techniques are critically reviewed for the removal of these toxic contaminants from groundwater and wastewater.
  • Large-Scale Graph Processing Using Apache Giraph

    Sakr, Sherif; Orakzai, Faisal Moeen; Abdelaziz, Ibrahim; Khayyat, Zuhair (Springer International Publishing AG, 2017-01-07) [Book]
    This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms.
  • Regularity Theory for Mean-Field Game Systems

    Gomes, Diogo A.; Pimentel, Edgard A.; Voskanyan, Vardan K. (SpringerBriefs in Mathematics, Springer Nature, 2016-09-14) [Book]
    Beginning with a concise introduction to the theory of mean-field games (MFGs), this book presents the key elements of the regularity theory for MFGs. It then introduces a series of techniques for well-posedness in the context of mean-field problems, including stationary and time-dependent MFGs, subquadratic and superquadratic MFG formulations, and distinct classes of mean-field couplings. It also explores stationary and time-dependent MFGs through a series of a-priori estimates for solutions of the Hamilton-Jacobi and Fokker-Planck equation. It shows sophisticated a-priori systems derived using a range of analytical techniques, and builds on previous results to explain classical solutions. The final chapter discusses the potential applications, models and natural extensions of MFGs. As MFGs connect common problems in pure mathematics, engineering, economics and data management, this book is a valuable resource for researchers and graduate students in these fields.
  • Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data

    Chikalov, Igor; Lozin, Vadim V.; Lozina, Irina I.; Moshkov, Mikhail; Nguyen, Hungson; Skowron, Andrzej; Zielosko, Beata (Intelligent Systems Reference Library, 2013) [Book]
  • Distributed Strategic Learning for Wireless Engineers

    Tembine, Hamidou (CRC Press, 2012-05-18) [Book]
    Distributed strategic learning, CODIPAS, payoff-learning, strategy-learning, combined learning, variance learning, speedup learning, mean field learning, learning satisfactory solution, learning global optima in a fully distributed way, learning in multi-
  • Average Time Complexity of Decision Trees

    Chikalov, Igor (Intelligent Systems Reference Library, Springer Berlin Heidelberg, 2011) [Book]