By Peter P. Chen, Leah Y. Wong
This quantity includes a number of the papers awarded in the course of the First overseas ACM-L Workshop, which used to be held in Tucson, Arizona, throughout the twenty fifth overseas convention on Conceptual Modeling, ER 2006.
Included during this cutting-edge survey are eleven revised complete papers, conscientiously reviewed and chosen from the workshop displays. those are crowned off with four invited lectures and an introductory and motivational overview.
Taken as a complete, those papers disguise almost all the present pondering in conceptual modeling research.
The workshop in query taken with improving the basic figuring out of ways to version continuous studying from previous reviews and the way to trap wisdom from transitions among process states.
Active conceptual modeling is a continuing strategy of describing all features of a site, its actions, and alterations from assorted views in line with our wisdom and understanding.
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Extra info for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development
Scheuermann 1. Translates the speciﬁcations of the original trigger into: → ← TR1’: ON E1 ; (EC ; EC ) 1c 1c IF C1i THEN A1 2. , in the case of Rq1 it is send to the air-base. 2 (EC 1c if the evaluation of C1c is done locally or in the remote site. This event denotes that the condition has been evaluated to true, and the notiﬁcation about it, from the possibly remote site, has been received. 3. 2 A trigger that is either registered locally, or transmitted to the remote site, which essentially states: TR1c: ON E1 ; C1c → ← IF C1c valid until(¬E1 ) THEN A(Notify(EC )) 1c 4.
8GHz processor, with 1G of DDR2 memory. Our network consisted of 400 nodes whose parameters emulated the MICA-Motes, and we executed 50 diﬀerent (R1, R2) pairs, running the simulation for 2 hours for diﬀerent combinations of the parameters above. Our observations are depicted in Figure 4 where the left portion represents the energy lost in the nodes, 42 G. Trajcevski and P. Scheuermann and the right portion depicts the number of messages exchanged. The solid line represents the average of all observations operating without the meta-trigger installation in the cluster leaders of R1 and R2, R2 being constantly polled.
As shown in the examples, our approach is particularly useful when considering mobile targets. In recent years, there has been an increasing interest in systems that consider mobile data sources and location-based systems . Most systems are still in a ﬂedgling stage, where the inﬂuence of location is rather direct and complex dependencies on combinations of location, direction, other contexts several mobile peers and static items are only just evolving. 6 Concluding Remarks and Future Work We presented our (ECA)2 paradigm for specifying triggers that are aware of the dynamic correlation between the events and conditions and, in a sense, can “react in a proactive manner” – by modifying themselves.