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R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.
The need for fresh water is increasing with the rapid growth of the world's population. In countries and regions with available water resources, it is necessary to ensure the health and safety of the water supply. However, in countries and regions with limited freshwater resources, priority is given to water supply plans and projects, among which the desalination strategy stands out. In the desalination process, membrane and thermal processes are used to obtain fresh water from salty water that is in abundant amounts in the sea. This book will outline valuable scientific contributions to the new desalination and water treatment technologies to obtain high quality water with low negative environmental impacts and cost. The editors would like to record their sincere thanks to the authors for their contributions.
A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The book covers an introduction to the concepts and technology involved, numerous case-studies with practical applications and methods, and finishes with suggestions for future research directions. Wide in scope, this book offers both significant new theoretical challenges and an examination of real-world problem-solving in all areas of hydrological modelling interest.
A rapid growth in global industrialization and population has triggered intense environmental pollution that has led to a water crisis, resulting in the decay in the quality of human life and economic losses. Novel water purification techniques are expected to alleviate this challenge. Recently, various water purification techniques, along with different computational techniques, have been developed. For instance, water purification techniques, such as electromagnetic water purification, solute-surface interactions in water, use of micro-magnetofluidic devices, UV-led water purification, and use of membranes can be thoroughly investigated by using a range of computation techniques, such as molecular dynamics, the lattice Boltzmann method, and the Navier-Stokes method-based solver. Advanced Computational Approaches for Water Treatment: Applications in Food and Chemical Engineering, presents these different numerical techniques and traditional modeling and simulation approaches to elaborate on and explain the various water purification techniques. Features: Serves as a dedicated reference for this emerging topic Discusses state of the art developments in advanced computational techniques for water purification Brings together diverse experience in this field in one reference text Provides a roadmap for future developments in the area This book is primarily intended for chemical engineers, hydrologists, water resource managers, civil engineers, environmental engineers, food scientists and food engineers interested in understanding the numerical approaches for different water purification techniques, such as membrane, sedimentation, filtration, micromagnetofluidic device, and ozone/UV, among others.
Instrumentation, Control and Automation of Water and Wastewater Treatment and Transport Systems 1993 comprises a selection of manuscripts on the development of control strategies and their applications and on the status and future directions of Instrumentation, Control, and Automation (ICA) in the water and wastewater industry. The book starts by providing an overview of the status, the constraints and the future prospects for ICA in water and wastewater treatment and transport based on the survey responses of experts from 16 different countries. The text continues by presenting the need for dynamic modeling and simulation software to assist operations staff in developing effective instrumentation control strategies and to provide a training environment for the evaluation of such strategies. The book also covers the critical variables in system success; the use of an enterprise-wide computing that emphasizes the importance of strategic planning, performance measures, and human factors associated with the suggested implementation of applied technology; and the use of part-time unmanned operation at a large wastewater treatment plant. A functional approach based on the utility's water and wastewater functional requirements; the collection system monitoring and control; water distribution and control systems; dynamic modeling and simulation; and process control strategy and development are also considered. This book will be beneficial to biochemists, wastewater technologists, and public health authorities.
The two-volume set LNCS 7367 and 7368 constitutes the refereed proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; neurodynamics; cognitive neuroscience; learning algorithms; optimization; pattern recognition; vision; image processing; information processing; neurocontrol; and novel applications.
This book highlights advances in sustainable wastewater treatment technologies, particularly biological wastewater treatment, cavitation-based treatment, hybrid water treatment, membrane technologies, advance oxidation processes, and adsorption. The book focuses on a variety of advanced treatment techniques that are useful for the degradation of organic components, dyes, heavy metals effluent, etc. in wastewater. Industrial wastewater consists of variety of discharges based on the type of industry, such as the dairy/food industries, which generate more fats and high BOD value with variation in the pH value, while the electroplating industry may expel more inorganic matter and dissolved solids. The oil extraction industries will have more solvents contained in the effluent, and dyes and textiles industry create a higher organic load with high TDS. Hence, every type of manufacturing industry needs a different method for the treatment of its effluents. Looking at the use of intensified chemical processes in order to make cleaner environment, Innovative Technologies for the Treatment of Industrial Wastewater explores the new and innovative methods for pollutant removal that will prove useful for a variety of industries. Conventional wastewater treatment processes require a significant amount of energy and involve expensive equipment and maintenance. Sustainable wastewater treatment technologies, however, involve less generation of energy and employ more economically feasible treatment methods, requiring less equipment and fewer maintenance costs. Looking at the use of intensified chemical processes in order to make a cleaner environment, this volume explores new and innovative methods for pollutant removal that will prove useful for a variety of industries. This book highlights advances in sustainable wastewater treatment technologies, particularly biological wastewater treatment, cavitation-based treatment, hybrid water treatment, membrane technologies, advanced oxidation processes, and adsorption.
In recent years, MEMS have revolutionized the semiconductor industry, with sensors being a particularly buoyant sector. Smart MEMS and Sensor Systems presents readers with the means to understand, evaluate, appreciate and participate in the development of the field, from a unique systems perspective.The combination of MEMS and integrated intelligence has been put forward as a disruptive technology. The full potential of this technology is only evident when it is used to construct very large pervasive sensing systems. The book explores the many different technologies needed to build such systems and integrates knowledge from three different domains: MEMS technology, sensor system electronics and pervasive computing science.Throughout the book a top-down design perspective is taken, be it for the development of a single smart sensor or that of adaptive ad-hoc networks of millions of sensors.For experts in any of the domains named above the book provides the context for their MEMS based design work and an understanding of the role the other domains play. For the generalist (either in engineering or computing) or the technology manager the underpinning knowledge is provided, which can inform specialist decision making./a