Recent Submissions

  • Satellite

    Kota, Sastri; Giambene, Giovanni; Abdelsadek, Mohammed; Alouini, Mohamed-Slim; Babu, Sarath; Bas, Joan; Chaudhari, Sachin; Dalai, Debabrata; Darwish, Tasneem; de Cola, Tomaso; Delamotte, Thomas; Dutta, Ashutosh; Dwivedi, Ayush; Enright, Michael; Giordani, Marco; Gotta, Alberto; Hammad, Eman; Khattab, Tamer; Knopp, Andreas; Kurt, Gunes Karabulut; Manoj, B. S.; Me Biomo, Jean-Daniel Medjo; Pillai, Prashant; Rawat, Pramud; Saxena, Paresh; Scanlan, Pat; Sharma, Avinash; Sperber, Ray; Sun, Zhili; Tarchi, Daniele; Varshney, Neeraj; Verma, Seema; Yanikomeroglu, Halim; Zhao, Kanglian; Zhao, Liang (IEEE, 2023-03-08) [Report]
    The fifth generation (5G) Wireless Communication systems development has brought out a paradigm shift using advanced technologies e.g., softwarization, virtualization, Massive MIMO, ultra-densification and introduction of new frequency bands. However, as the societal needs grow, and to satisfy UN's Sustainable Development Goals (SDGs), 6G and beyond systems are envisioned. Non- Terrestrial Networks including satellite systems, Unmanned Aerial Vehicles (UAVs) and High-Altitude Platforms (HAPs) provide the best solutions to connect the unconnected, unserved and underserved in remote and rural areas in particular. Over the past few decades, Geo Synchronous Orbits (GSO) satellite systems have been deployed to support broadband services, backhauling, Disaster Recovery and Continuity of Operations (DR-COOP) and emergency services. Recently, there is a considerable renewed interest in planning and developing non-GSO satellite systems. Within the next few years several thousands of Low Earth Orbit (LEO) satellites and mega LEO constellations will be ready to provide global Internet services. This report is the 2022 Edition of the INGR Satellite Working Group Report, subsequent to the previous two editions [1] [2]. The topics considered in this INGR Satellite WG 2022 Edition of the roadmap are the following taking 6G systems into account: applications and services, reference architectures (both backhaul and direct access), satellite loT, mm Wave use for satellite networks, machine learning and artificial intelligence, edge computing, QoS/QoE, security, network management and standardization. The work on the roadmap will continue towards the next edition of the roadmap addressing new challenges and potential solutions for future networks.
  • Energy Efficiency

    Zahnstecher, Brian; McCune, Earl; Kirkpatrick, Doug; Booth, Rick; Bresniker, Kirk; Nease, Lin; Bandyopadhyay, Anirban; Nordman, Bruce; Carobolante, Francesco; Olsson, Magnus; Bjornson, Emil; McGarry, Laurence; Allen, Steve; Draxler, Paul; Darema, Frederica; Alouini, Mohamed-Slim (IEEE, 2023-03-08) [Report]
    This 2021 Edition of the IEEE International Network Generations Roadmap (INGR) contains a new Chapter dedicated to Energy Efficiency, which builds upon the initial white paper released in April 2020 [1]. For this purpose, the Energy Efficiency Working Group developed an analysis of the energy efficiency constraints across the whole ecosystem of the Fifth Generation “5G” and following network infrastructure, which can be leveraged by all stakeholders to prioritize resources allocation and technology development to ensure that both technical and economic forecasts can be met. The complexity of the ecosystem and the traditionally siloed approach within the Industry has often prevented the adoption of a holistic approach to addressing the fundamental problem of energy, which is the ultimate constraint to any complex deployment. The proposed framework facilitates an assessment of bottlenecks and their implication on the network: it may be used by both academic and industry stakeholders to develop solutions that address the real issues and enable a healthy ecosystem. After a comprehensive survey of the ecosystem and its challenges, the following key areas were selected for a more in-depth analysis: •Network Efficiency •Small Cell Migration •Base Station Power •Economic Factors •Grid/Utility This Chapter also identifies the need for a comprehensive “Systems-of-Systems” (SoS) analysis to address the complex inter-relations among the multiple layers, which the infrastructure leverages. An initial proposal describes how a model can be built to enable a comprehensive assessment of energy requirements across such a diverse ecosystem. A future step in the process will consolidate a proposal for standardization of this model, which can be utilized by all stakeholders for both analysis and forecasting of capabilities and return on investment.
  • Modeling and Simulation for Collective Dynamics

    (WORLD SCIENTIFIC, 2023-02) [Book]
    The thematic program Quantum and Kinetic Problems: Modeling, Analysis, Numerics and Applications was held at the Institute for Mathematical Sciences at the National University of Singapore, from September 2019 to March 2020. Leading experts presented tutorials and special lectures geared towards the participating graduate students and junior researchers. Readers will find in this significant volume four expanded lecture notes with self-contained tutorials on modeling and simulation for collective dynamics including individual and population approaches for population dynamics in mathematical biology, collective behaviors for Lohe type aggregation models, mean-field particle swarm optimization, and consensus-based optimization and ensemble Kalman inversion for global optimization problems with constraints. This volume serves to inspire graduate students and researchers who will embark into original research work in kinetic models for collective dynamics and their applications
  • Models and Methods for Quantum Condensation and Fluids

    Bao, Weizhu; Cai, Yongyong; Danaila, Ionut; Markowich, Peter A. (WORLD SCIENTIFIC, 2023-01) [Book]
    The Institute for Mathematical Sciences at the National University of Singapore hosted a thematic program on Quantum and Kinetic Problems: Modeling, Analysis, Numerics and Applications from September 2019 to March 2020. As an important part of the program, tutorials and special lectures were given by leading experts in the fields for participating graduate students and junior researchers. This invaluable volume collects six expanded lecture notes with self-contained tutorials. The coverage includes mathematical models and numerical methods for multidimensional solitons in linear and nonlinear potentials; Bose–Einstein condensation (BEC) with dipole-dipole interaction, higher order interaction and spin-orbit coupling; classical and quantum turbulence; and molecular dynamics process based on the first-principle in quantum chemistry. This volume serves to inspire graduate students and researchers who will embark into original research work in these fields.
  • Coral Reef Conservation and Restoration in the Omics Age

    (Springer International Publishing, 2022) [Book]
  • Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning

    Harrou, Fouzi; Zeroual, Abdelhafid; Hittawe, Mohamad; Sun, Ying (Elsevier, 2022) [Book]
    Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.
  • Decision Trees with Hypotheses

    Azad, Mohammad; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail; Zielosko, Beata (Springer International Publishing, 2022) [Book]
    In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses.
  • Rebuilding Coral Reefs: A Decadal Grand Challenge

    Knowlton, Nancy; Corcoran, Emily; Felis, Thomas; Ferse, Sebastian; de Goeij, Jasper; Grottoli, Andréa; Harding, Simon; Kleypas, Joan; Mayfield, Anderson; Miller, Margaret; Obura, David; Osuka, Kennedy; Peixoto, Raquel S; Randall, Carly; Voolstra, Christian; Wells, Sue; Wild, Christian (International Coral Reef Society and Future Earth Coasts, 2021-07-20) [Report]
    This document is the work of a team assembled by the International Coral Reef Society (ICRS). The mission of ICRS is to promote the acquisition and dissemination of scientific knowledge to secure the future of coral reefs, including via relevant policy frameworks and decision-making processes. This document seeks to highlight the urgency of taking action to conserve and restore reefs through protection and management measures, to provide a summary of the most relevant and recent natural and social science that provides guidance on these tasks, and to highlight implications of these findings for the numerous discussions and negotiations taking place at the global level.
  • Sustainable Process Engineering

    Szekely, Gyorgy (De Gruyter, 2021-03-04) [Book]
    Sustainable process engineering is a methodology to design new and redesign existing processes that follow the principles of green chemistry and green engineering, and ultimately contribute to a sustainable development. The newest achievements of chemical engineering, opened new opportunities to design more efficient, safe, compact and environmentally benign chemical processes. The book provides a guide to sustainable process design applicable in various industrial fields.
  • Catalytic and Noncatalytic Upgrading of Oils

    (American Chemical Society, 2021-01-01) [Book]
  • Advances in Air Conditioning Technologies

    Chua, Kian Jon; Islam, Md Raisul; Ng, Kim Choon; Shahzad, Muhammad Wakil (Springer Nature, 2021) [Book]
    This book highlights key recent developments in air conditioning technologies for cooling and dehumidification with the specific objectives to improve energy efficiency and to minimize environmental impact. Today, air conditioning, comprising cooling and dehumidification, is a necessity in commercial and residential buildings and even in many industrial processes. This book provides key update on recent developments in air conditioning systems, cooling cycles and innovative cooling/dehumidification technologies. Key technologies related to cooling include heat-driven absorption and adsorption cooling and water-based dew point evaporative cooling. Technologies connected with dehumidification involve new generations of adsorbent–desiccant dehumidifiers, liquid-based desiccants and membranes that sieve out water vapor from air. Losses in cooling cycles and thermo-economic analysis for a sustainable economy are also judiciously documented.
  • Dynamic Programming Multi-Objective Combinatorial Optimization

    Mankowski, Michal; Moshkov, Mikhail (Springer Nature, 2021) [Book]
    This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions along with the increasing and strictly increasing cost functions as a model for such problems. The book designs the algorithms for multi-stage and bi-criteria optimization and for counting the solutions in the framework of this model. As applications, this book studies eleven known combinatorial optimization problems: matrix chain multiplication, global sequence alignment, optimal paths in directed graphs, binary search trees, convex polygon triangulation, line breaking (text justification), one-dimensional clustering, optimal bitonic tour, segmented least squares, optimization of matchings in trees, and 0/1 knapsack problem. The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.
  • Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

    Harrou, Fouzi; Sun, Ying; Hering, Amanda; Madakyaru, Muddu; Dairi, Abdelkader (Elsevier BV, 2021) [Book]
    Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems.
  • Non-Euclidean Laguerre Geometry and Incircular Nets

    Bobenko, Alexander I.; Lutz, Carl O.R.; Pottmann, Helmut; Techter, Jan (Springer International Publishing, 2021) [Book]
    The first systematic introduction to non-Euclidean Laguerre geometry in the literature Demonstrates all features of Laguerre geometry in terms of one recent application: checkerboard incircular nets Beautifully illustrated by many render images
  • Riemann Problems and Jupyter Solutions

    Ketcheson, David I.; LeVeque, Randall J.; del Razo, Mauricio J. (Society for Industrial & Applied Mathematics (SIAM), 2020-06-26) [Book]
    This book addresses an important class of mathematical problems—the Riemann problem—for first-order hyperbolic partial differential equations (PDEs), which arise when modeling wave propagation in applications such as fluid dynamics, traffic flow, acoustics, and elasticity. The solution of the Riemann problem captures essential information about these models and is the key ingredient in modern numerical methods for their solution. This book covers the fundamental ideas related to classical Riemann solutions, including their special structure and the types of waves that arise, as well as the ideas behind fast approximate solvers for the Riemann problem. The emphasis is on the general ideas, but each chapter delves into a particular application. Riemann Problems and Jupyter Solutions - is available in electronic form as a collection of Jupyter notebooks that contain executable computer code and interactive figures and animations, allowing readers to grasp how the concepts presented are affected by important parameters and to experiment by varying those parameters themselves; - is the only interactive book focused entirely on the Riemann problem; and - develops each concept in the context of a specific physical application, helping readers apply physical intuition in learning mathematical concepts. Graduate students and researchers working in the analysis and/or numerical solution of hyperbolic PDEs will find this book of interest. This includes mathematicians, as well as scientists and engineers, working with applications like fluid dynamics, water waves, traffic modeling, or electromagnetism. Educators interested in developing instructional materials using Jupyter notebooks will also find this book useful. The book is appropriate for courses in Numerical Methods for Hyperbolic PDEs and Analysis of Hyperbolic PDEs, and it can be a great supplement for courses in computational fluid dynamics, acoustics, and gas dynamics.
  • Comparative Analysis of Deterministic and Nondeterministic Decision Trees

    Moshkov, Mikhail (Springer Nature, 2020-03-13) [Book]
    This book compares four parameters of problems in arbitrary information systems: complexity of problem representation and complexity of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as classifiers, as a means of knowledge representation, and as algorithms. Nondeterministic (strongly nondeterministic) decision trees can be interpreted as systems of true decision rules that cover all objects (objects from one decision class). This book develops tools for the study of decision trees, including bounds on complexity and algorithms for construction of decision trees for decision tables with many-valued decisions. It considers two approaches to the investigation of decision trees for problems in information systems: local, when decision trees can use only attributes from the problem representation; and global, when decision trees can use arbitrary attributes from the information system. For both approaches, it describes all possible types of relationships among the four parameters considered and discusses the algorithmic problems related to decision tree optimization. The results presented are useful for researchers who apply decision trees and rules to algorithm design and to data analysis, especially those working in rough set theory, test theory and logical analysis of data. This book can also be used as the basis for graduate courses.
  • Reservoir Simulations: Machine Learning and Modeling

    Sun, Shuyu; Zhang, Tao (Elsevier BV, 2020) [Book]
    Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today’s petroleum and reservoir engineer to optimize more complex developments.
  • Artificially Intelligent Nanomaterials

    Wang, Peng; Chang, Jian; Zhang, Lianbin (Wiley, 2019-11-08) [Book]

    Tainter, Joseph A.; Patzek, Tadeusz (Aracne editrice, 2019-11) [Book]
    Un modello che coniuga semplicità ed eleganza, proponendoci uno strumento efficace per affrontare una problematica emergente, è quello che fa la differenza, che può guadagnarsi un proprio spazio nella storia delle idee. Quanto detto, può facilmente essere riferito alla potente immagine che sta al centro di questo volume: la spirale energia complessità. Questo ci sembra costituire un valido motivo per proporre un’edizione italiana del lavoro di Tainter e Patzek, pubblicato per la prima volta negli Stati Uniti nel 2012, ma che ha retto ed è destinato a reggere egregiamente l’impatto del tempo, a dispetto del carattere estremamente volatile di un complesso di tematiche connesse con il caso studio prescelto (l’incidente petrolifero occorso nel Golfo del Messico nell’aprile del 2010).
  • Sustainable nanoscale engineering: From materials design to chemical processing

    (Elsevier BV, 2019-10-18) [Book]
    Sustainable Nanoscale Engineering: From Materials Design to Chemical Processing presents the latest on the design of nanoscale materials and their applications in sustainable chemical production processes. The newest achievements of materials science, in particular nanomaterials, opened new opportunities for chemical engineers to design more efficient, safe, compact and environmentally benign processes. These materials include metal-organic frameworks, graphene, membranes, imprinted polymers, polymers of intrinsic microporosity, nanoparticles, and nanofilms, to name a few. Topics discussed include gas separation, CO2 sequestration, continuous processes, waste valorization, catalytic processes, bioengineering, pharmaceutical manufacturing, supercritical CO2 technology, sustainable energy, molecular imprinting, graphene, nature inspired chemical engineering, desalination, and more.

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