Martínez Madrid / Seepold Intelligent Technical Systems

1. Auflage 2009
ISBN: 978-1-4020-9823-9
Verlag: Springer Netherlands
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 38, 288 Seiten

Reihe: Lecture Notes in Electrical Engineering

Intelligent technical systems are networked, embedded systems incorporating real-time capacities that are able to interact with and adapt to their environments. These systems need innovative approaches in order to meet requirements like cost, size, power and memory consumption, as well as real-time compliance and security. Intelligent Technical Systems covers different levels like multimedia systems, embedded programming, middleware platforms, sensor networks and autonomous systems and applications for intelligent engineering. Each level is discussed by a set of original articles summarizing the state of the art and presenting a concrete application; they include a deep discussion of their model and explain all design decisions relevant to obtain a mature solution.

Autoren/Hrsg.

Martínez Madrid, Natividad

Seepold, Ralf E. D.

Inhaltsverzeichnis

1;Preface;6
2;Contents;7
3;Contributors;10
4;Reviewers;11
5;Part I Multimedia Systems;12
5.1;Chapter 1 Smart Wireless Image Sensors for Video Surveillance;13
5.2;Chapter 2 Policy Management Architecture for Multimedia Services in a Multi- Provider Scenario;27
5.3;Chapter 3 Embedding Multi-Task Address-Event- Representation Computation;41
5.4;Chapter 4 End to End UPnP AudioVisual Service Provisioning and Management;55
5.5;Chapter 5 Virtual Development Environment for Embedded Systems Using ARMulator and SystemC Models;69
6;Part II Embedded Programming;83
6.1;Chapter 6 Rule-Set Extraction from C-Code;84
6.2;Chapter 7 Real Time Implementation of Fuzz-Face Electric Guitar Effect;98
6.3;Chapter 8 Providing Standardized Fixed-Point Arithmetics for Embedded C Programs;110
7;Part III Middleware Platforms;124
7.1;Chapter 9 A Home E-Health System for Dependent People Based on OSGI;125
7.2;Chapter 10 Transparent IP Cores Integration Based on the Distributed Object Paradigm;139
7.3;Chapter 11 Platform Modeling in Safety-Critical Embedded Systems;153
7.4;Chapter 12 Service Platform for E-Safety Automotive Intelligent System;167
8;Part IV Sensor Networks and Autonomous Systems;181
8.1;Chapter 13 Intelligent, Fault Adaptive Control of Autonomous Systems;182
8.2;Chapter 14 Digital Open-Loop Control of a Piezoelectric Valve for Household Appliances;196
8.3;Chapter 15 Comining Quantitative and Qualitative Models with Active Observtions to Improve Diagnosis of Complex Systems;210
9;Part V Intelligent Engineering;224
9.1;Chapter 16 Object Memory Management for Constrained Devices with Heterogeneous Memories;225
9.2;Chapter 17 Efficient Computation of Min and Max Sensor Values in Multihop Networks;239
9.3;Chapter 18 A Low- Cost FPGA-Based Embedded Fingerprint Verification and Matching System;253
9.4;Chapter 19 FPGA-Rootkits;267
9.5;Chapter 20 Bridging the Requirements to Design Traceability Gap;281