الصفحة 11
الصفحة 11
Advances in Variable Structure and Sliding Mode Control
Sliding Mode Control is recognized as an efficient tool to design controllers which are robust with respect to uncertainty. The resulting controllers have low sensitivity to plant parameters and perturbations and allow the possibility of decoupling the original plant system into two components of lower dimension. In addition many controllers ensure finite time convergence to the switching surface and can be straightforwardly implemented. However, in addition to this traditional area of exploitation, sliding mode concepts are being increasingly deployed for the design of observers for estimation and identification.
Advances in information system development : New methods and practice for the networked society ; Vol. 1
Advances in Information Systems Development: Bridging the Gap between Academia and Industry, Volumes 1 and 2, are the collected proceedings of the Fourteenth International Conference on Information Systems Development. These latest volumes on Information Systems Development examine the exchange of ideas between academia and industry and aims to explore new solutions.
Advances in Hybrid Information Technology ; 1st International Conference, ICHIT 2006, Jeju Island, Korea, November 9-11, 2006, Revised Selected Papers
As information technologies (IT) become specialized and fragmented, it is easy to lose sight that many topics in IT have common threads and because of this, advances in one sub-discipline may transmit to another. The presentation of results between di?erent sub-disciplines of IT encourages this interchange for the advancement of IT as a whole. Of particular interest is the hybrid approach or combining ideas from one discipline with those of another to achieve a result that is more signi?cant than the sum of the individual parts. Through this hybrid philosophy, a new or common principle can be discovered which has the propensity to propagate throughout this multifaceted discipline.
Advances in grid and pervasive computing ; 2nd International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings
This book address all aspects of grid and pervasive computing and focus on topics such as cluster computing, high performance computing, grid computing, semantic Web and semantic grid, service-oriented computing, peer-to-peer computing, pervasive computing, mobile computing, network storage, as well as grid and pervasive related applications.
Advances in communication systems and electrical engineering
Compiles revised and extended articles written by prominent researchers participating in the IAENG International Conference on Communication Systems and Applications, IAENG International Conference on Internet Computing and Web Services, and IAENG International Conference on Electrical Engineering of the International MultiConference of Engineers and Computer Scientists (IMECS) 2007. This volume presents the latest technologies and applications in wireless networks, telecommunication, and signal processing.
Advances in Brain, Vision, and Artificial Intelligence ; 2nd International Symposium, BVAI 2007, Naples, Italy, October 10-12, 2007, Proceedings
This book address the following main topics: Basic Models in Visual Sciences, Cortical Mechanism of Vision, Color Processing in Natural Vision, Action Oriented Vision, Visual Recognition and Attentive Modulation, Biometric Recognition, Image Segmentation and Recognition, Disparity Calculation and Noise Analysis, Signal Identification in Neural Models, Natural and Artificial Representation Issues in Artificial Intelligence, Meaning-Interaction-Emotion, Robot Navigation and Control.
Advances in biometrics ; International conference, ICB 2006, Hong Kong, China, January 5-7, 2006, Proceedings
Biometrics has emerged as a reliable person identification method that can over-come some of the limitations of the traditional automatic personal identificationmethods. With significant advances in biometric technology and a correspondingincrease in the number of applications incorporating biometrics, it is essentialthat we bring together researchers from academia and industry as well as practi-tioners to share ideas, problems and solutions for the development and successfuldeployment of state-of-the-art biometric systems.The International Conference on Biometrics (ICB 2006) followed the success-ful International Conference on Biometric Authentication (ICBA 2004) to facil-itate this interaction. ICB 2006 received a large number of high-quality researchpapers. After a careful review of 192 submissions, 104 papers were acceptedfor presentation.
Advanced studies in biometrics : Summer School on biometrics, Alghero, Italy, June 2-6, 2003. Revised Selected Lectures and Papers
This book originates from an international summer school on biometrics, held in Alghero, Italy, in June 2003. The seven revised tutorial lectures by leading researchers introduce the reader to biometrics-based person authentication, fingerprint recognition, gait recognition, various aspects of face recognition and face detection, topologies for biometric recognition, and hand detection. Also included are the four best selected student papers, all dealing with face recognition.
Advanced driver assistance system (ADAS)
The purpose of Advanced Driver Assistance Systems (ADAS) is to reduce or eliminate driver errors, and to enhance efficiency in traffic and transportation. Our project is a means and a great contribution to safe driving, and the user does not need to install sensors or hard tools to the vehicle, and through it, the cost can be reduced and maintenance cost can be eliminated. The images are processed and segmented to find different features in the image. Segmented images are used for identification and classification based on various machine learning algorithms and neural networks. The main focus of ADAS technologies is to contribute to factors such as safety management and automated, stress-free driving for the driver
Ad-hoc, Mobile and Wireless Networks ; 7th International Conference, ADHOC-NOW 2008 Sophia-Antipolis, France, September 10-12, 2008 Proceedings
This book constitutes the refereed proceedings of the 7th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2008, held in Sophia-Antipolis, France, September 2008.
Adaptive Voltage Control in Power Systems : Modeling, Design and Applications
Adaptive Voltage Control in Power Systems, a self-contained blend of theory and novel application, is an in-depth treatment of such adaptive control schemes. The reader moves from power-system-modelling problems through illustrations of the main adaptive control systems (self-tuning, model-reference and nonlinearities compensation) to a detailed description of design methods: Kalman filtering, parameter-identification algorithms and discrete-time controller design are all represented. Case studies address applications issues in the implementation of adaptive voltage control.
Adaptive Nonlinear System Identification : The Volterra and Wiener Model Approaches
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for nonlinear systems that can be efficiently modeled by polynomials.After a brief introduction to nonlinear systems and to adaptive system identification, the author presents the discrete Volterra model approach. This is followed by an explanation of the Wiener model approach. Adaptive algorithms using both models are developed. The performance of the two methods are then compared to determine which model performs better for system identification applications.
Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. When the learning process is organized according to these steps, performed together one after the other or separately, one may expect to discover models that generalize well.
Acute Promyelocytic Leukemia : Molecular Genetics, Mouse Models and Targeted Therapy
Over the past 10 years, work on acute promyelocytic leukemia (APL) has become the paradigm of translational research that began with the discovery of a recurrent chromosomal translocation, followed by the identification of the genes and proteins involved, finding their molecular functions in transcriptional control, establishing mouse models and culminating in the development of targeted therapy.
Acoustic MIMO Signal Processing
Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and interactions more lifelike, hence more efficient. This development gives rise to a variety of acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others. The last decade has witnessed a growing interest in exploring these problems, but there has been little effort to develop a theory to have all these problems investigated in a unified framework. This unique book attempts to fill the gap.
Acceleration and Improvement of Protein Identification by Mass Spectrometry
This book is presenting a review of basic proteomic techniques. The second part of the book is related to the novel high throughput protein identification technique called the 'molecular scanner'
Abiotic Stress Tolerance in Plants : Toward the Improvement of Global Environment and Food
Stresses in plants caused by salt, drought, temperature, oxygen, and toxic compounds are the principal reason for reduction in crop yield. For example, high salinity in soils accounts for large decline in the yield of a wide variety of crops world over; ~1000 million ha of land is affected by soil salinity. Increased sunlight leads to the generation of reactive oxygen species, which damage the plant cells. The threat of global environment change makes it increasingly demanding to generate crop plants that could withstand such harsh conditions. Much progress has been made in the identification and characterization of the mechanisms that allow plants to tolerate abiotic stresses.
A Theory of Shape Identification
Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals to detect and recognize shapes is one of the enigmas of perception. The book describes a complete method that starts from a query image and an image database and yields a list of the images in the database containing shapes present in the query image. A false alarm number is associated to each detection. Many experiments will show that familiar simple shapes or images can reliably be identified with false alarm numbers ranging from 10-5 to less than 10-300.
A Computer Scientists Guide to Cell Biology
Provides a succinct treatment of the general concepts of cell biology, furnishing the computer scientist with the tools necessary to read and understand current literature in the field.After a brief introduction to cell biology, the text focuses on the principles behind the most-widely used experimental procedures and mechanisms, relating them to well-understood concepts in computer science. The presentation of the material has been prepared for the reader’s quick grasp of the topic: comments on nomenclature and background notes can be ascertained at a glance, and essential vocabulary is boldfaced throughout the text for easy identification.
