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The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.

container --- fog computing --- virtual reality --- privacy and security --- software defined infrastructure --- intelligent medical service --- very long instruction word (VLIW) --- semantics --- privacy leakage detection --- context information --- post-copy --- ontology --- body area network --- DSP --- Internet-of-Things --- Mobile Device Management --- interoperability --- Android --- water consumption --- Processing-in-Memory --- performance analysis --- semantic --- mobility --- data management --- CRIU --- training simulator --- Industry 4.0 --- sensor networks --- experimental evaluation --- programming paradigm --- pre-copy --- microservice-oriented platform --- CubeSats --- middleware --- registry --- smart metering --- big data analytics --- nanosatellites --- medium access control --- Internet of Things --- heterogeneity --- web-of-things --- one-to-one computing educational program --- Web-of-Things --- internet of things --- instruction set extension --- microservices architecture --- migration --- behaviour --- wireless access networks

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The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algorithms usually suffer from high computational complexity, since some of these problems are NP-hard. Therefore, in recent years, many graph models and optimization algorithms have been proposed to achieve a better balance between efficacy and efficiency. This book contains some papers reporting recent achievements regarding graph models, algorithms, and applications to problems in the real world, with some focus on optimization and computational complexity.

planar graphs --- k-planarity --- NP-hardness --- polynomial time reduction --- cliques --- paths --- computational social choice --- election control --- multi-winner election --- social influence --- influence maximization --- congestion games --- pure Nash equilibrium --- potential games --- price of anarchy --- price of stability --- phylogenetic tree --- evolutionary tree --- ancestral mixture model --- mixture tree --- mixture distance --- tree comparison --- clique independent set --- clique transversal number --- signed clique transversal function --- minus clique transversal function --- k-fold clique transversal set --- distance-hereditary graphs --- stretch number --- recognition problem --- forbidden subgraphs --- hole detection --- analysis and design or graph algorithms --- distributed graph and network algorithms --- graph theory with algorithmic applications --- computational complexity of graph problems --- experimental evaluation of graph algorithms

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Unconventional reservoirs are usually complex and highly heterogeneous, such as shale, coal, and tight sandstone reservoirs. The strong physical and chemical interactions between fluids and pore surfaces lead to the inapplicability of conventional approaches for characterizing fluid flow in these low-porosity and ultralow-permeability reservoir systems. Therefore, new theories and techniques are urgently needed to characterize petrophysical properties, fluid transport, and their relationships at multiple scales for improving production efficiency from unconventional reservoirs. This book presents fundamental innovations gathered from 21 recent works on novel applications of new techniques and theories in unconventional reservoirs, covering the fields of petrophysical characterization, hydraulic fracturing, fluid transport physics, enhanced oil recovery, and geothermal energy. Clearly, the research covered in this book is helpful to understand and master the latest techniques and theories for unconventional reservoirs, which have important practical significance for the economic and effective development of unconventional oil and gas resources.

shale gas --- permeability --- prediction by NMR logs --- matrix–fracture interaction --- faults --- remaining oil distributions --- unconventional reservoirs --- coal deformation --- reservoir depletion --- carbonate reservoir --- nanopore --- fracturing fluid --- pseudo-potential model --- shale reservoirs --- matrix-fracture interactions --- multi-scale fracture --- succession pseudo-steady state (SPSS) method --- fluid transport physics --- integrated methods --- chelating agent --- dissolved gas --- non-equilibrium permeability --- effective stress --- fractal --- fracture network --- spontaneous imbibition --- tight oil --- porous media --- 0-1 programming --- the average flow velocity --- geothermal water --- micro-fracture --- pore types --- pore network model --- petrophysical characterization --- nitrogen adsorption --- analysis of influencing factors --- mudstone --- rheology --- velocity profile --- shale permeability --- flow resistance --- global effect --- tight sandstones --- fractal dimension --- contact angle --- temperature-resistance --- fractured well transient productivity --- reservoir classifications --- deep circulation groundwater --- viscosity --- NMR --- fractional diffusion --- lattice Boltzmann method --- multiporosity and multiscale --- fractal geometry --- imbibition front --- productivity contribution degree of multimedium --- wetting angle --- pH of formation water --- enhanced oil recovery --- isotopes --- tight sandstone --- fracture diversion --- shale --- SRV-fractured horizontal well --- low-salinity water flooding --- shale gas reservoir --- tight reservoirs --- fracture continuum method --- tight oil reservoir --- Lucaogou Formation --- hydraulic fracturing --- clean fracturing fluid --- recovery factor --- flow regimes --- local effect --- complex fracture network --- pore structure --- gas adsorption capacity --- polymer --- non-linear flow --- conformable derivative --- production simulation --- analytical model --- enhanced geothermal system --- multi-scale flow --- experimental evaluation --- extended finite element method --- fluid-solid interaction --- groundwater flow --- well-placement optimization --- thickener --- imbibition recovery --- equilibrium permeability --- slip length --- large density ratio --- clay mineral composition --- finite volume method --- volume fracturing --- influential factors --- sulfonate gemini surfactant