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MIDDLEWARE
2004
Springer
13 years 10 months ago
Mobile adaptive tasks guided by resource contracts
This paper proposes a way to realize the idea of calm computing by adding a dynamic task model into the pervasive computing environment. This task model contains information about...
Peter Rigole, Yolande Berbers, Tom Holvoet
ICRA
2005
IEEE
127views Robotics» more  ICRA 2005»
13 years 10 months ago
Interactive Teaching of a Mobile Robot
— Personal service robots are expected to help people in their everyday life in the near future. Such robots must be able to not only move around but also perform various operati...
Jun Miura, Koji Iwase, Yoshiaki Shirai
IPPS
2006
IEEE
13 years 11 months ago
Schedulability analysis of non-preemptive recurring real-time tasks
The recurring real-time task model was recently proposed as a model for real-time processes that contain code with conditional branches. In this paper, we present a necessary and ...
Sanjoy K. Baruah, Samarjit Chakraborty
IFM
2007
Springer
126views Formal Methods» more  IFM 2007»
13 years 11 months ago
Common Semantics for Use Cases and Task Models
In this paper, we introduce a common semantic framework for developing and formally modeling use cases and task models. Use cases are the notation of choice for functional require...
Daniel Sinnig, Patrice Chalin, Ferhat Khendek
ECRTS
2008
IEEE
13 years 11 months ago
A Gravitational Task Model for Target Sensitive Real-Time Applications
The commonly used task models for real-time systems focus on execution windows expressing earliest start times and deadlines of tasks for feasibility. Within these windows, execut...
Raphael Guerra, Gerhard Fohler
STOC
2002
ACM
123views Algorithms» more  STOC 2002»
14 years 5 months ago
Optimal rate-based scheduling on multiprocessors
The PD2 Pfair/ERfair scheduling algorithm is the most efficient known algorithm for optimally scheduling periodic tasks on multiprocessors. In this paper, we prove that PD2 is als...
Anand Srinivasan, James H. Anderson
ICML
1997
IEEE
14 years 5 months ago
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Christopher G. Atkeson, Stefan Schaal