الصفحة 1
الصفحة 1
Ocular Transporters in Ophthalmic Diseases and Drug Delivery
This exceptionally important new work represents recent discoveries and advancements in the study of ocular transporters and their roles in ocular physiology, pathology, and drug delivery. Transporters are found on the membranes of cells and play a key role in transmitting signals between cells. In Ocular Transporters in Ophthalmic Diseases and Drug Delivery, a panel of distinguished authors discusses all the latest developments in the study of ocular transporters. Focusing on the molecular characteristics, localization, and substrate specificities in various compartments of the eye, this volume discusses how transporters regulate the clarity of the cornea and lens, the movements of fluids across the ciliary epithelium, and the transport of nutrients across the retinal pigment epithelium. It also provides an in-depth look at how mutations or dysfunction of specific transporters can contribute to various disorders in the eye, including blindness, and provides readers with potential targets and strategies to allow safe passage of therapeutic drugs into the eye.
Nonlinear Speech Modeling and Applications : Advanced Lectures and Revised Selected Papers
Presents the revised tutorial lectures given at the International Summer School on Nonlinear Speech Processing-Algorithms and Analysis held in Vietri sul Mare, Salerno, Italy in September 2004. The 14 revised tutorial lectures by leading international researchers are organized in topical sections on dealing with nonlinearities in speech signals, acoustic-to-articulatory modeling of speech phenomena, data driven and speech processing algorithms, and algorithms and models based on speech perception mechanisms. Besides the tutorial lectures, 15 revised reviewed papers are included presenting original research results on task oriented speech applications.
Nonlinear Analyses and Algorithms for Speech Processing ; International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers
We present in this volume the collection of ?nally accepted papers of NOLISP 2005 conference. It has been the third event in a series of events related to N- linear speech processing, in the framework of the European COST action 277 “Nonlinear speech processing”. Many speci?cs of the speech signal are not well addressed by conv- tional models currently used in the ?eld of speech processing. The purpose of NOLISP is to present and discuss novel ideas, work and results related to alternative techniques for speech processing, which depart from mainstream approaches. With this intention in mind, we provide an open forum for discussion. Alt- nate approaches are appreciated, although the results achieved at present may not clearly surpass results based on state-of-the-art methods. The call for papers was launched at the beginning of 2005, addressing the following domains: 1. Non-Linear Approximation and Estimation 2. Non-Linear Oscillators and Predictors 3. Higher-Order Statistics 4. Independent Component Analysis 5. Nearest Neighbors 6. Neural Networks 7. Decision Trees 8. Non-Parametric Models 9. Dynamics of Non-Linear Systems 10. Fractal Methods 11. Chaos Modeling 12. Non-Linear Di?erential Equations 13. Others All the main ?elds of speech processing are targeted by the workshop, namely: 1. Speech Coding:Thebit rateavailablefor speechsignalsmustbe strictly l- ited in order to accommodate the constraints of the channel resource.
Neutrinos and Explosive Events in the Universe
“Neutrinos and Explosive Events in the Universe” brought together experts from diverse disciplines to offer a detailed view of the exciting new work in this part of High Energy Astrophysics. Sponsored by NATO as an Advanced Study Institute, and coordinated under the auspices of the International School of Cosmic Ray Astrophysics (14th biennial course), the ASI featured a full program of lectures and discussion in the ambiance of the Ettore Majorana Centre in Erice, Italy, including visits to the local Dirac and Chalonge museum collections as well as a view of the cultural heritage of southern Sicily. Enri- ment presentations on results from the Spitzer Infrared Space Telescope and the Origin of Complexity complemented the program. This course was the best attended in the almost 30 year history of the School with 121 participants from 22 countries. The program provided a rich ex- rience, both introductory and advanced, to fascinating areas of observational Astrophysics Neutrino Astronomy, High Energy Gamma Ray Astronomy, P- ticle Astrophysics and the objects most likely responsible for the signals - plosions and related phenomena, ranging from Supernovae to Black Holes to the Big Bang. Contained in this NATO Science Series volume is a summative formulation of the physics and astrophysics of this newly emerging research area that already has been, and will continue to be, an important contributor to understanding our high energy universe.
Neural Networks : Methodology and Applications
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts ands seemlessly edited to present a coherent and comprehensive, yet not redundant, practically-oriented introduction.
Multirate Statistical Signal Processing
This book introduces a statistical theory for extracting information from signals that have di?erent sampling rates. This new theory generalizes the conventional (deterministic) theory of multirate systems beyond many of its constraints.Furthermore,itallowsfortheformulationofseveralnewproblems such as spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing. I have arrived at the theory presented here by integrating concepts from diverse areas such as information theory, inverse problems and theory of - equalities. The process of merging a variety of concepts of di?erent origin results in both merits and shortcomings. The former include the fresh and - di?erentiated view of an amateur, providing scope of application. The latter include a lack of in-depth experience in each of the original ?elds. Granted, this may lead to gaps in continuity, however it goes without saying that a complete theory can seldom be achieved by one person and in a short time.
Multimodal User Interfaces : From Signals to Interaction
The book presents a common theoretical framework for fusion and fission of multimodal information using the most advanced signal processing algorithms constrained by HCI rules, described in detail and integrated in the context of a common distributed software platform for easy and efficient development and usability assessment of multimodal tools. The book also demonstrates the use of the multimodal framework for the development of a set of applications in the areas of edutainment, interfaces for disabled people and interfaces for medical applications.
Multi-Carrier Spread Spectrum 2007 ; Proceedings from the 6th International Workshop on Multi-Carrier Spread Spectrum, May 2007,Herrsching, Germany
This combination known as multi-carrier spread spectrum (MC-SS) benefits from the advantages of both systems and offers high flexibility, high spectral efficiency, simple detection strategies, narrow-band interference rejection capabilities, etc. The basic principle of this combination is straightforward: The spreading is performed as direct sequence spread spectrum (DS-SS) but instead of transmitting the chips over a single carrier, several sub-carriers are employed. The MC modulation and demodulation can easily be realized in the digital domain by performing IFFT and FFT operations. The separation of the users’ signals can be performed in the code domain. MC-SS systems can perform the spreading in frequency direction, which allows for simple signal detection strategies. Since 1993, MC-SS has been deeply studied and new alternative solutions have been proposed.
Modelling, State Observation and Diagnosis of Quantised Systems
The book concerns quantised systems which emerge from continuous-variable systems by quantising the values of all signals. It is shown how this leads to an abstract system description by means of a stochastic automaton. Based on stochastic automata, new methods for the solution to state observation and fault diagnostic problems are derived. The methods are extended to networks of stochastic automata, allowing component-oriented modelling and, thus, to deal with complex systems. The practical applicability and usefulness of the approach is shown at several examples.
Modeling Communication with Robots and Virtual Humans ; Second ZiF Research Group International Workshop on Embodied Communication in Humans and Machines, Bielefeld, Germany, April 5-8, 2006, Revised Selected Papers
The 17 articles in this state-of-the-art survey address artificial intelligence research on communicative agents and also provide an interdisciplinary perspective from linguistics, behavioral research, theoretical biology, philosophy, communication psychology, and computational neuroscience. The topics include studies on human multimodal communication; the modeling of feedback signals, facial expression, eye contact, and deception; the recognition and comprehension of hand gestures and head movements; communication interfaces for humanoid robots; the evolution of cognition and language; emotion and social appraisal in nonverbal communication; dialogue models and methodologies; theory of mind and intentionality; complex systems, dynamic field theory, and connectionist modeling.
Mind conversation = التنبؤ بالحروف العربية من خلال الإشارات الدماغية
Throughout history, humans have long dreamed of understanding what goes on inside the human mind—what people are thinking or feeling. It seemed like something from a far-off future or a magical realm. But now, thanks to amazing technology called EEG and BCI, this dream is turning into reality. EEG stands for electroencephalography. It's a way of listening to what the brain is up to by placing small sensors on or near the head. These sensors pick up tiny electrical signals produced by the brain's activity. It's like eavesdropping on the brain's conversations with itself. BCI, or Brain-Computer Interface, is like a bridge between the brain and machines. It lets the brain talk to devices or computers. This means people can control things without using their hands or voices. Our system takes advantage of EEG and BCI to create something helpful, a special mobile app. This app is designed for people who can't move their bodies, like those who are paralyzed. It helps them use their phones to express what they are thinking about.
MIMO Signals and Systems
The book provide a basic understanding of the fundamentals, implementation, and of MIMO techniques. For easier comprehension, these applications techniques, in conjunction with several "classic" algorithms, are illustrated by means of numerous worked examples.
Microphone Array Signal Processing
Microphone arrays have attracted a lot of interest in the last two decades. The reason behind this is that they have the potential to solve many important problems in both human-machine and human-human interfaces for different kinds of communications. But before microphone arrays can be deployed broadly, there is a strong need for a deep understanding of the problems encountered in the real world and their clear formulation in order that useful algorithms can be developed to process the sensor signals.
Microelectronic Circuits
Devices and basic circuits -- Signals, amplifiers and semiconductors -- Operational amplifiers -- Diodes -- Bipolar junction transistors (BJTS) -- Mos field-effect transistors (MOSFETS) -- Transistor amplifiers -- Analog integrated circuits -- Building blocks of integrated-circuit amplifiers -- Differential and multistage amplifiers -- Frequency response -- Feedback -- Output stages and power amplifiers -- Operational-amplifier circuits -- Filters and oscillators -- Digital integrated circuits -- CMOS digital logic circuits -- Digital Design: Power, Speed, and Area -- Memory and Clocking Circuits
Mediterranean Land-surface Processes Assessed from Space
1. 1 Space View and Ground Observations 1 1. 2 Mediterranean Climatic Environment 2 1. 3 Processes at Surfaces 10 1. 3. 1 Deforestation and Land-use Changes 10 1. 3. 2 Water Related Problems 16 1. 3. 3 Fire, Grazing, and Land Degradation 19 1. 3. 4 Drought, Floods, Frost, and Desertification 21 1. 3. 5 Coupling Between Surface and Atmosphere: The Role of the Atmospheric Boundary Layer 25 1. 4 Role and Capabilities of Measurements Made From Space 30 1. 4. 1 Research Programmes 30 1. 4. 2 Expected Information 32 1. 4. 3 Research Strategy 33 1. 4. 4 Observation of Changes in Heterogeneous Landscapes: Spatial and Temporal Scales 35 1. 4. 5 Land-surface Change Indicators Observable from Space 36 Spectral Characteristics of Vegetation and Soils (36); Responses of Remote Sensing Signals to Changes of Land-surface Properties (40) 1. 5 About this Book 48 Chapter 2 Processing and Archiving of Satellite and Ancillary Data 51 2. 1 Introduction 51 2. 2 The Remote Sensing Data Base 55 2. 2. 1 Satellite Instruments 55 The NOAA Observing System (55); Meteosat (57); Nimbus-7 (59); Landsat (59); SPOT (61); DMSP (62); ERS-1 and ERS-2 (62); TRMM (63); Terra (64); Envisat (65); Aqua (66) 2. 2. 2 Aircraft Instruments 66 The Use of Aircraft for Land-surface Process Studies (66); AVIRIS (67); TMS (68); AIRSAR (68); DIAL (69) 2. 3 Reception, Acquisition and Availability of Satellite Data 70 2. 3.
Medical data processing and analysis
Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. Computer-aided diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome of interest in the form of a label pointing to a diagnosis or prognosis. Computer science, with the evolution of artificial intelligence and machine learning techniques, facilitates the modeling and interpretation of results—from carrying out measurements to experiments and observations.
IQ Calibration Techniques for CMOS Radio Tranceivers
There are a lot of factors that degrade the matching of gains and phases between I/Q signals: the instinct layout mismatch, the random mismatch of the devices, the different temperatures over the I/Q signal paths. IQ Calibration Techniques For CMOS Radio Transceivers describes a fully-analog compensation technique without baseband circuitry to control the calibration process. This book will use an 802.11g transceiver design as an example to give a detailed description on the I/Q gains and phases imbalance auto-calibration mechanism.
Instrumaster
Experiments with different neural network structures and algorithms in order to achieve musical note recognition as well as musical instrument recognition, all bundled in a mobile application. It also aims to create the most effective music-learning application that works completely offline, which is hard to find in modern music applications. The paper also explores why the instrument identifying AI is solely based on Multi-Layer Perceptron (MLP) and why the note-identifying AI system was chosen to be a ML system over CNN or other deep-learning trained AI. The paper presents feature extraction methods for audio signals and files and dives deep into the process, such as FFT, MFCCs, Wavelengths, sampling rates, etc. It also touches on Logistic Regression Algorithms, their limitations, and their performance with the different use cases in the application. All these techniques are then compared side by side for maximally added value, making this research paper a good reference for any future developers looking to find optimal neural networks techniques when it comes to audio processing and analysis.
Independent component analysis and signal separation ; 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings
Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series.
Hypocretins : Integrators of Physiological Signals
The first report that rapid eye movements occur in sleep in humans was published in 1953. The research journey from this point to the realization that sleep consists of two entirely independent states of being (eventually labeled REM sleep and non-REM sleep) was convoluted, but by 1960 the fundamental duality of sleep was well established including the description of REM sleep in cats associated with “wide awake” EEG patterns and EMG suppression.
