The KODAMA Methodology: An Agent-Based Distributed Approach

Author(s):  
Guoqiang Zhong ◽  
Satoshi Amamiya ◽  
Kenichi Takahashi ◽  
Makoto Amamiya

Author(s):  
Ningkui Wang ◽  
Hayfa Zgaya ◽  
Philippe Mathieu ◽  
Slim Hammadi


Author(s):  
J. Sun ◽  
D. Xue ◽  
D. H. Norrie

Abstract This research introduces an intelligent, distributed approach for predictive scheduling and reactive scheduling. Product descriptions and their manufacturing requirements are represented using a feature-based modeling scheme. Manufacturing resources, including facilities and persons, are modeled as agents. In predictive scheduling, the optimal production schedule is identified through heuristic search and agent-based negotiation. In reactive scheduling, the original schedule is modified for responding to the changes of orders and resources through a match-up approach and agent-based negotiation, when the original schedule cannot be accomplished due to these changes.



2001 ◽  
Vol 11 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Nick Antonopoulos ◽  
Kyriakos Koukoumpetsos ◽  
Alex Shafarenko


2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Arne Surmann ◽  
Rohit Walia ◽  
Robert Kohrs

Abstract This paper introduces a framework for agent based autonomous charging and discharging of Battery Electric Vehicle (BEV) at local energy communities. Agents are programmed to control the bidirectional charging according to green energy utilisation incentives, based on load and generation forecasts. The optimization is achieved within a group of independent prosumers following a fully distributed approach using multiple self-organising agents. No central instance is needed for communication, billing or decision making. To demonstrate the ecological benefits of the system, simulations for a car pool, with a Photovoltaic (PV) plant, in a residential neighborhood were performed. The simulations resulted in an increased community PV self-consumption value of 48% compared to 29% in case of uncontrolled charging processes.



Author(s):  
Jorge Perdigao

In 1955, Buonocore introduced the etching of enamel with phosphoric acid. Bonding to enamel was created by mechanical interlocking of resin tags with enamel prisms. Enamel is an inert tissue whose main component is hydroxyapatite (98% by weight). Conversely, dentin is a wet living tissue crossed by tubules containing cellular extensions of the dental pulp. Dentin consists of 18% of organic material, primarily collagen. Several generations of dentin bonding systems (DBS) have been studied in the last 20 years. The dentin bond strengths associated with these DBS have been constantly lower than the enamel bond strengths. Recently, a new generation of DBS has been described. They are applied in three steps: an acid agent on enamel and dentin (total etch technique), two mixed primers and a bonding agent based on a methacrylate resin. They are supposed to bond composite resin to wet dentin through dentin organic component, forming a peculiar blended structure that is part tooth and part resin: the hybrid layer.



2008 ◽  
Author(s):  
Sato Hiroshi ◽  
Kubo Masao ◽  
Namatame Akira
Keyword(s):  




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