This paper presents the design, implementation, and operation of a novel distributed fault-tolerant middleware. It uses interconnected WSNs that implement Map-Reduce paradigm, consisting several low-cost low-power mini-computers (Raspberry Pi). Specifically, we explain steps for development novice, algorithm which achieves high system availability, focusing on network connectivity. Finally, sho...

Simple Recurrent Networks (SRNs) have been widely used in natural language processing tasks. However, their ability to handle long-term dependencies between sentence constituents is somewhat limited. NARX networks have recently been shown to outperform SRNs by preserving past information in explicit delays from the network’s prior output. However, it is unclear how the number of delays should b...

Simple Recurrent Networks (SRNs) have been widely used in natural language tasks. SARDSRN extends the SRN by explicitly representing the input sequence in a SARDNET self-organizing map. The distributed SRN component leads to good generalization and robust cognitive properties, whereas the SARDNET map provides exact representations of the sentence constituents. This combination allows SARDSRN to...

Cluster-based map-reduce programming frameworks such as Apache Hadoop make compelling pedagogical examples of parallel computing in undergraduate CS education. Although the basic notions of map-reduce computation are at an appropriate level for introductory CS students, directly programming Hadoop is too difficult for most beginning students. However, the strategically simplified WebMapReduce s...