Demo Data from EDBT 2026 / reviewers in the wild / expert
Era Kasturia
dblp:184/7987
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 87% Performance modeling and evaluation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › discrete event systems
discrete-event control systems |
0.0 | 1 | 1988 | Real time control of multilevel manufacturing systems using colored Petri nets · ICRA 1988 |
Embedded and real-time systems › industrial control systems › manufacturing system control
manufacturing cell control |
0.0 | 1 | 1988 | Real time control of multilevel manufacturing systems using colored Petri nets · ICRA 1988 |
Performance modeling and evaluation
petri net modeling |
0.0 | 1 | 1988 | Real time control of multilevel manufacturing systems using colored Petri nets · ICRA 1988 |
Methods — techniques the papers use, named apart from their topics
colored petri nets · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Real time control of multilevel manufacturing systems using colored Petri netsabstractA colored Petri net (CPN) model of a cell controller capable of real-time control and monitoring of multiple workstations is described. The need to incorporate the ideas of both computer integrated manufacturing (CIM) and flexible manufacturing systems (FMS) is discussed, and the controller is based on these concepts. The CPN for the cell controller is presented and described. The controller in this case controls two workstations: the Cincinnati Milacron 5VC machining center and a robotic assembly workstation using an Adept robot. An analysis of the net is performed, and relevant portions are presented. A data structure for implementing this type of a CPN is given. The code for the controller is divided into application-dependent and -independent code. An execution algorithm is provided. The conclusions emphasize the advantages of CPNs in modeling and analysis for discrete-event control of manufacturing systems.> Era Kasturia, Frank DiCesare, Alan A. Desrochers |
ICRA | 1 |