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Emergent computation is a relatively new approach for understanding the behaviors of complex systems. Central to this approach is the idea that system-level behavior emerges from interaction among individual elements. This paper proposes a network emergent computation model based on cellular automaton, which introduces network operating mechanism, such as store-and-forward, adjacency interaction,...
Summary form only given. The distributions of particles on substrate surfaces are very important for materials processing, and it is valuable to develop fast computation models to predict and control them. A model is developed to determine the ion energy distribution (IED) from the tool measurements in a single-frequency driven capacitive discharge in a collisional sheath regime. The sheath width...
Reconfigurable system provides both flexibility of software and performance of hardware. It is a significant trend in embedded application domain. Some new reconfigurable technologies and technology-dependent tools have been developed, but the whole design flow for run-time reconfigurable systems with real-time operating system support is not proposed. RTOS plays an important role in the system and...
Available computing is expected to be effective and efficient in ubiquitous multimedia services. And, matrix multiplication is particular to ubiquitous computing such as image transformation so that it is urgent to exploit potential parallelism as well as data reuse in matrix multiplication. Therefore, based on synchronized data triggered architecture (SDTA), we propose a method of parallel vector...
Aggregate information is important for data stream processing systems, especially, to get any user-specified time window queries and evolution analysis over data stream. To solve this problem, in this paper, we propose an integrated structure for managing summarized information of snapshots under geometry timeframe, which facilitates analyzing the temporal evolving of data stream. By using our method,...
To find the optimal combination of parameters in product or process design, there are always more than one response needed to be optimized simultaneously, which is called as optimization of multi-response problems. TOPSIS (technique for order preference by similarity to ideal solution) method, as a multiple attribute decision making (MADM) methodology, is often used for solving problems with multivariate...
Most of the current agent systems focus on single issue, such as price, whereas multi-issue negotiation is very essential to electronic commerce. In the multi-issue model, MAUT (Multi-attribute Utility Theory) or its derived theory is mainly used as the evaluation method. However, the application of this theory may cause deviation. To resolve the problem, a two stage negotiation model is presented...
The remote sensing information service grid node (RSIN) is a tool for dealing with climate change and quantitative environmental monitoring. Based on the high-throughput computing grid, RSIN enables a workflow management system for data placement. The accompanying unified data-and-computation-schedule algorithm helps load balancing between and within workflow steps.
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