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Con El Sol en Los Ojos
A bilingual collection of short poems about a young boy and girl exploring the world around them.
Pattern Recognition and Image Analysis
The two-volume set LNCS 3522 and 3523 constitutes the refereed proceedings of the Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005, held in Estoril, Portugal in June 2005. The 170 revised full papers presented were carefully reviewed and selected from 292 submissions. The papers are organized in topical sections on computer vision, shape and matching, image and video processing, image and video coding, face recognition, human activity analysis, surveillance, robotics, hardware architectures, statistical pattern recognition, syntactical pattern recognition, image analysis, document analysis, bioinformatics, medical imaging, biometrics, speech recognition, natural language analysis, and applications.
Photonic Crystals
The second volume of the book concerns the characterization approach of photonic crystals, photonic crystal lasers, photonic crystal waveguides and plasmonics including the introduction of innovative systems and materials. Photonic crystal materials promises to enable all-optical computer circuits and could also be used to make ultra low-power light sources. Researchers have studied lasers from microscopic cavities in photonic crystals that act as reflectors to intensify the collisions between photons and atoms that lead to lazing, but these lasers have been optically-pumped, meaning they are driven by other lasers. Moreover, the physical principles behind the phenomenon of slow light in photonic crystal waveguides, as well as their practical limitations, are discussed. This includes the nature of slow light propagation, its bandwidth limitation, coupling of modes and particular kind terminating photonic crystals with metal surfaces allowing to propagate in surface plasmon-polariton waves. The goal of the second volume is to provide an overview about the listed issues.
Nanostructures
This book highlights the functionality, significance, and applicability of nanostructure materials. The chapters in this book provide the logical and comprehensive information pertaining to the recent advances in the synthesis, characterization, and application of nanostructure materials for energy conversion and sensors. Written by an outstanding group of experts in the field, this book presents the latest advances and developments in nanostructure materials. We hope this book will help in describing the current position of nanostructure materials in the technological sphere as well as encourage scientists and engineers in deeper exploration of nanostructure materials to boost the technological advancement.
Nanomaterials: The Building Blocks of Modern Technology
This book provides a general overview of different classes of nanomaterials, which includes the synthesis, fabrication, characterization, properties and technological applications of these materials. The book covers 4 main types of nanomaterials, namely: A) soft nanomaterials, B) biological nanomaterials, C) composite nanomaterials and D) green nanomaterials, where for each nanomaterials, a complete guide to material synthesis, characterization, their unique properties (as compared to a conventional bulk material) and potential technological applications is presented. One of the book's most notable characteristics is the inclusion of a section, a special focus on the future of nanomaterials for next-generation technology in electronic, power and energy devices. The content of this book is presented in a simple and lucid style which can also be used by professionals, scientists and students who are interested in the general research area of nanomaterials technology.
Gesture in Human-Computer Interaction and Simulation
This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Gesture in Human-Computer Interaction and Simulation, GW 2005, held in May 2005. The 22 revised long papers and 14 revised short papers presented together with 2 invited lectures were carefully selected from numerous submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on human perception and production of gesture, sign language representation, sign language recognition, vision-based gesture recognition, gesture analysis, gesture synthesis, gesture and music, and gesture interaction in multimodal systems.
Two-Dimensional Materials for Environmental Applications
This book focuses on recent developments in the field of two-dimensional nanomaterials for environmental applications. Due to their high surface area and tunable surface chemistry, two-dimensional nanomaterials are currently garnering great interest for environmental remediation applications. This book compiles contributed chapters from active international researchers dealing with the development of state-of-the-art two-dimensional nanomaterials in environmental applications such as water and wastewater treatment, adsorption, photocatalysis, membrane separation, desalination, deionization, environmental pollutants sensing/detection, carbon-dioxide capture and catalytic conversion, microbial...
Good Night, Commander
A powerful story about a child who has survived the Iraq-Iran War finds him playing an imaginary war in his room, but when he confronts an enemy soldier, he finds that, like himself, this soldier is missing a leg.
Predicting Price Trends Combining Kinetic Energy and Deep Reinforcement Learning
It is important to approach investing in the stock market and Forex with caution and to understand the potential risks involved. Predicting the direction of prices in financial markets is a complex task, and there is no guaranteed way to do it. A promising approach that has been proposed involves using a combination of the kinetic energy formula and indicator signals as our first sub-approach to predict prices movement. Another approach uses deep reinforcement learning (DRL) as the second sub-approach. The third sub-approach incorporates the kinetic energy of stocks as a condition rule in the Trading Deep Q-Network algorithm, leading to the development of the TDQN method. The proposed TKDQN method has demonstrated promising results in terms of accuracy and profitability, outperforming previous version based on several metrics.
