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This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.

Earth Sciences. --- Hydrogeology. --- Hydrology/Water Resources. --- Geoengineering, Foundations, Hydraulics. --- Geography. --- Hydraulic engineering. --- Géographie --- Technologie hydraulique --- Geography --- Earth & Environmental Sciences --- Physical Geography --- Hydrologic models. --- Hydrological modeling --- Hydrological models --- Hydrology --- Hydrology models --- Models --- Earth sciences. --- Hydrology. --- Engineering geology. --- Engineering --- Foundations. --- Hydraulics. --- Geology. --- Models and modelmaking --- Engineering, Hydraulic --- Fluid mechanics --- Hydraulics --- Shore protection --- Engineering—Geology. --- Civil engineering --- Geology, Economic --- Aquatic sciences --- Earth sciences --- Hydrography --- Water --- Flow of water --- Hydraulic engineering --- Jets --- Architecture --- Building --- Structural engineering --- Underground construction --- Caissons --- Earthwork --- Masonry --- Soil consolidation --- Soil mechanics --- Walls --- Geohydrology --- Geology --- Groundwater --- Flow --- Distribution --- Details

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This book covers various aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems. It gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling for NoC-based multicores. The authors describe the use of the Integer Line Programming (ILP) technique for smaller benchmarks and a Particle Swarm Optimization (PSO) to get a near optimal mapping and test schedule for bigger benchmarks. The PSO-based approach is also augmented with several innovative techniques to get the best possible solution. The tradeoff between performance (communication or test time) of the system and thermal-safety is also discussed, based on designer specifications. Provides a single-source reference to design and test for circuit and system-level approaches to (NoC) based multicore systems; Gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling in (NoC) based multicore systems; Organizes chapters systematically and hierarchically, rather than in an ad hoc manner, covering aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems.

Networks on a chip. --- Networks on a chip --- Design. --- Network on chip technology --- NoC technology --- Embedded computer systems --- Electronic circuits. --- Microprocessors. --- Electronics. --- Microelectronics. --- Circuits and Systems. --- Processor Architectures. --- Electronics and Microelectronics, Instrumentation. --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electrical engineering --- Physical sciences --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes

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This book covers various aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems. It gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling for NoC-based multicores. The authors describe the use of the Integer Line Programming (ILP) technique for smaller benchmarks and a Particle Swarm Optimization (PSO) to get a near optimal mapping and test schedule for bigger benchmarks. The PSO-based approach is also augmented with several innovative techniques to get the best possible solution. The tradeoff between performance (communication or test time) of the system and thermal-safety is also discussed, based on designer specifications. Provides a single-source reference to design and test for circuit and system-level approaches to (NoC) based multicore systems; Gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling in (NoC) based multicore systems; Organizes chapters systematically and hierarchically, rather than in an ad hoc manner, covering aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems.

Electronics --- Electrical engineering --- microprocessoren --- elektronica --- micro-elektronica --- elektrische circuits

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Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Sistemes incrustats (Informàtica) --- Intel·ligència artificial --- Internet de les coses --- Intel·ligència artificial.

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This book highlights selected papers presented at the 10th International Symposium on Embedded Computing and System Design (ISED) 2021. This symposium aims to provide a platform for young researchers to share the latest scientific achievements of embedded computing and system design. The book is divided into three broad sections. The first section discusses topics like VLSI and testing, circuits and systems with a focus on emerging technologies. The second section discusses topics like embedded hardware and software systems and novel applications. The final section discusses the state-of-the-art technologies involving IoT, artificial intelligence, green and edge computing that demonstrates the issues currently.

Electrical engineering --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- embedded systems --- KI (kunstmatige intelligentie) --- computernetwerken --- elektrische circuits --- AI (artificiële intelligentie)