Intelligent Technical Systems

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.

Multimedia Systems.- Smart Wireless Image Sensors for Video Surveillance.- Policy Management Architecture for Multimedia Services in a Multi-Provider Scenario.- Embedding Multi-Task Address-Event-Representation Computation.- End to End UPnP AudioVisual Service Provisioning and Management.- Virtual Development Environment for Embedded Systems Using ARMulator and SystemC Models.- Embedded Programming.- Rule-Set Extraction from C-Code.- Real Time Implementation of Fuzz-Face Electric Guitar Effect.- Providing Standardized Fixed-Point Arithmetics for Embedded C Programs.- Middleware Platforms.- A Home E-Health System for Dependent People Based on OSGI.- Transparent IP Cores Integration Based on the Distributed Object Paradigm.- Platform Modeling in Safety-Critical Embedded Systems.- Service Platform for E-Safety Automotive Intelligent System.- Sensor Networks and Autonomous Systems.- Intelligent, Fault Adaptive Control of Autonomous Systems.- Digital Open-Loop Control of a Piezoelectric Valve for Household Appliances.- Comining Quantitative and Qualitative Models with Active Observtions to Improve Diagnosis of Complex Systems.- Intelligent Engineering.- Object Memory Management for Constrained Devices with Heterogeneous Memories.- Efficient Computation of Min and Max Sensor Values in Multihop Networks.- A Low-Cost FPGA-Based Embedded Fingerprint Verification and Matching System.- FPGA-Rootkits.- Bridging the Requirements to Design Traceability Gap.