Optical Neural Networks


Book Description

During the next years neural networks and systems amenable to instructions will extend their influence in science and technology. A prominent point of interest in this field is assigned to optical networks: they are small and flexible, and due to their ability of parallel processing they are devoted to the construction of small systems. This monograph explains the fundamentals of optical neural networks to physicists, engineers and device constructors.




2020 8th International Electrical Engineering Congress (iEECON)


Book Description

The 2020 International Electrical Engineering Congress (iEECON2020) is a premier international academic conference organized by The Electrical Engineering Academic Association of Thailand (EEAAT) The iEECON2020 will provide a forum for researchers, engineers and industry experts to discuss recent developments, new ideas and breakthroughs in Electrical Engineering technologies Topics of interest include power & energy, communications, electronics & control, digital signal processing, and computer & IT




Optical Storage and Retrieval


Book Description

Presents recent technical information and gives an overview of progress in optical memory, neural networks and fractals from the viewpoint of optical information processing. The work introduces holographic optical disks and holographic storage in photorefractive crystal fibre, discusses the optical implementation of neural networks, explains the use of neurochips as artificial retinas, and more.




Optical Materials


Book Description

This reference book concentrates on microstructuring surfaces of optical materials with directed fluxes of off-electrode plasma generated by high-voltage gas discharge and developing methods and equipment related to this technique. It covers theoretical and experimental studies on the electrical and physical properties of high-voltage gas discharges used to generate plasma outside an electrode gap. A new class of methods and devices that makes it possible to implement a series of processes for fabricating diffraction microstructures on large format wafers is also discussed.




Biomolecular Electronics


Book Description

The properties of materials depend on the nature of the macromolecules, small molecules and inorganic components and the interfaces and interactions between them. Polymer chemistry and physics, and inorganic phase structure and density are major factors that influence the performance of materials. In addition, molecular recognition, organic-inorganic interfaces and many other types of interactions among components are key issues in determining the properties of materials for a wide range of applications. Materials require ments are becoming more and more specialized to meet increasingly demand ing needs, from specific environmental stresses to high performance or biomedical applications such as matrices for controlled release tissue scaf folds. One approach to meet these performance criteria is to achieve better control over the tailoring of the components and their interactions that govern the material properties. This goal is driving a great deal of ongoing research in material science laboratories. In addition, control at the molecular level of interactions between these components is a key in many instances in order to reach this goal since traditional approaches used to glue, stitch or fasten parts together can no longer suffice at these new levels of manipulation to achieve higher performance. In many cases, molecular recognition and self-assembly must begin to drive these processes to achieve the levels of control desired. This same need for improved performance has driven Nature over millenia to attain higher and higher complexity.




Free Space Optics


Book Description

Annotation First book on Free Space Optics (FSO) in the marketplace. Comprehensive book that covers fundamentals through benefits and deployment pit falls. First comprehensive book about FSO, written by two experts in the field. Explores FSO as an alternative to cable and fiber as last-mile solutions. Enables readers to maximize the benefits of FSO and anticipate potential deployment pitfalls. Free Space Optics begins with the fundamentals of the technology before launching into FSO topologies, deployment issues, applications, and case studies. Baksheesh Ghuman is Vice President of Marketing at LightPointe Communications, Inc. Ghuman has worked in optical and telecommunications for over 12 years, focusing on marketing, product development, and applications engineering. He holds a Master of Science in Telecommunications Management from Golden State University, San Franscisco. Dr. Heinz Willebrand is Chief Technology Officer of LightPointe Communications where he leads all of LightPointe's R&D activities in the field of free space wireless RF and high-speed optical laser communication systems. Prior to LightPointe, Dr. Willebrand was a research professor at the University of Boulder, Colorado, where he taught classes on fiber optic and wireless technologies and researched areas such as fiber optics and high-speed computer interconnections.







Neuromorphic Photonics


Book Description

This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.




Oscillatory Neural Networks


Book Description

Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Besides adaptation and learning, which play a crucial role in brain functioning, oscillatory neural activity, synchronization and resonance accompany the brain work. Neural-like oscillatory network models, designed by the authors for image processing, allow to elucidate the capabilities of dynamical, synchronization-based types of image processing, presumably exploited by the brain. The oscillatory network models, studied by means of computer modeling and qualitative analysis, are presented and discussed in the book. Some other problems of parallel distributed information processing are also considered, such as a recall process from network memory for large-scale recurrent associative memory neural networks, performance of oscillatory networks of associative memory, dynamical oscillatory network methods of image processing with synchronization-based performance, optical parallel information processing based on the nonlinear optical phenomenon of photon echo, and modeling random electric fields of quasi-monochromatic polarized light beams using systems of superposed stochastic oscillators. This makes the book highly interesting to researchers dealing with various aspects of parallel information processing.