Pattern Synthesis from Multiple Scenarios for Parameterized Real-Time UML Models

2005 ◽  
pp. 193-211 ◽  
Author(s):  
Holger Giese ◽  
Florian Klein ◽  
Sven Burmester
Keyword(s):  
Real Time ◽  
Pattern Synthesis ◽  
Multiple Scenarios ◽  
Uml Models

Towards Early Verification of UML Models for Embedded and Real-Time Systems

2012 ◽  
Vol 45 (4) ◽  
pp. 25-30 ◽  
Author(s):  
Marco A. Wehrmeister ◽  
João G. Packer ◽  
Luis M. Ceron ◽  
Carlos E. Pereira
Keyword(s):  
Real Time ◽  
Real Time Systems ◽  
Time Systems ◽  
Uml Models

Notes on Pattern Synthesis

2018 ◽  
Author(s):  
Mark Fell
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Real Time ◽  
Digital Signal ◽  
Pattern Synthesis ◽  
Detailed Consideration ◽  
Normative Approach ◽  
Music Making

This chapter discusses the author’s pseudo-normative approach to music making, drawing influences from techno, house, and a range of unconventional vocabularies. There is parallel consideration of moving from drum machine to monosynth, integrating algorithmic control, and then to real-time digital signal processing and generative techniques. Detailed consideration of a system called ‘multistability’ is included.

DESIGNING A FUSION-DRIVEN SENSOR NETWORK TO SELECTIVELY TRACK MOBILE TARGETS

2012 ◽  
Vol 22 (01) ◽  
pp. 1250001 ◽  
Author(s):  
SHASHI PHOHA ◽  
GOUTHAM MALLAPRAGADA ◽  
YICHENG WEN ◽  
DOINA BEIN ◽  
ASOK RAY
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Design Space ◽  
Abstract Space ◽  
Interaction Interface ◽  
Mobile Target ◽  
Time Critical ◽  
Abstract Spaces ◽  
Multiple Scenarios ◽  
Support Time

Sensor networks that can support time-critical operations pose challenging problems for tracking events of interest. We propose an architecture for a sensor network that autonomously adapts in real-time to data fusion requirements so as not to miss events of interest and provides accurate real-time mobile target tracking. In the proposed architecture, the sensed data is processed in an abstract space called Information Space and the communication between nodes is modeled as an abstract space called Network Design Space. The two abstract spaces are connected through an interaction interface called InfoNet, that seamlessly translates the messages between the two. The proposed architecture is validated experimentally on a laboratory testbed for multiple scenarios.

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