Handloom is the mostly widely established cottage industry of North East India (NE) that is most wide spread throughout the region. It employs a large skilled and unskilled workforce and which, in North East, mainly consists of women workers. In the present era of commercialization, handloom sector is also witnessing changes and large number, of women are adopting the weaving activity as their ...

Abstract Within the German Cluster of Excellence "Integrative Production Technology for High-Wage Countries", at the RWTH Aachen University, self-optimising production systems are investigated. Within this scope, the weaving process is analyzed. Weight per area is a major product quality of woven fabrics. Integration of sensors into the loom to monitor and control the weight per unit area is in...

NEMS (nanoelectromechanical systems) loom beyond the MEMS horizon as the new frontier in miniaturization. Nanorobots and other NEMS are expected to find revolutionary applications in science, engineering and everyday life. Until now, nanostructures have been built primarily in two dimensions, because of the difficulties of threedimensional (3-D) fabrication. This paper describes a promising app...

As with general graph processing systems, partitioning data over a cluster of machines improves the scalability of graph database management systems. However, these systems will incur additional network cost during the execution of a query workload, due to interpartition traversals. Workload-agnostic partitioning algorithms typically minimise the likelihood of any edge crossing partition bounda...

Privacy concerns about peer’s disclosure of one’s information (PCAPD) loom as social networking sites (SNSs) getting popular. PCAPD is different from and more complex than privacy concerns in e-commerce contexts. Based on the Communication Privacy Management theory, we propose that decisional control helps reduce a SNS member’ PCAPD, and that this effect is contingent on two factors – the overl...

A number of large-scale high energy physics experiments loom on the horizon, several of which will generate many petabytes of scientific data annually. A variety of exploratory projects are underway within the physics computing community to investigate approaches to managing this data. There are conflicting views of this massive data problem: l there is far too much data to manage effectively w...

Aggregation underlies the distillation of information from big data. Many well-known basic operations including top-k matching and word count hinge on fast aggregation across large data-sets. Common frameworks including MapReduce support aggregation, but do not explicitly consider or optimize it. Optimizing aggregation however becomes yet more relevant in recent “online” approaches to expressiv...

The tradeoff between expressiveness and tractability in Description Logics (DLs) has long been recognised [9]. For DL system designers and implementors there are several possible approaches to this problem [3]. These include: • (severely) constraining expressiveness so that (Tbox) reasoning can be performed in polynomial time (e.g., Classic [11]); • using tractable but incomplete reasoning algo...