This paper describes the methods that were followed in the development and improvement of a statistical machine translation system for translation from English to Setswana. Setswana is regarded as a resource scarce language and therefore an adequate amount of parallel data is not freely available. The methods created attempt to improve the quality of a machine translation by manipulating the da...

Abstract The Tsetlin Machine is a recent supervised learning algorithm that has obtained competitive accuracy- and resource usage results across several benchmarks. It been used for convolution, classification, regression, producing interpretable rules in propositional logic. In this paper, we introduce the first framework reinforcement based on Machine. Our integrates value iteration with regr...

Grid computing has become conventional in distributed systems due to technological advancements and network popularity. Grid computing facilitates distributed applications by integrating available idle network computing resources into formidable computing power. As a result, by using efficient integration and sharing of resources, this enables abundant computing resources to solve complicated p...

This paper aims at providing a parameter estimation method for the machine tool reliability analysis to overcome the problem of unavailability of a well-defined failure data collection mechanism. It uses the knowledge and experience of maintenance personnel to obtain the parameters of lifetime distribution of the repairable as well as non-repairable components/ subassemblies. It is further deve...

Caching techniques have been used to improve the performance gap of storage hierarchies in computing systems. In data intensive applications that access large data files over wide area network environment, such as a data grid, caching mechanism can significantly improve the data access performance under appropriate workloads. In a data grid, it is envisioned that local disk storage resources re...

During tunneling processes, disc cutters of a tunnel boring machine (TBM) usually need to be frequently and unexpectedly replaced. Regular inspections are needed check cutters’ status, which significantly reduces the work efficiency increases cost. This paper proposes new prediction model based on TBM operational parameters geological conditions that determines whether cutter replacement is nee...

We consider a cache operating under a demand-driven replacement policy when document requests are modeled according to the Independent Reference Model (IRM). We characterize the popularity pmf of the stream of misses from the cache, the so-called output of the cache, for a large class of cache replacement policies, including standard on-demand replacement algorithms such as the policy A0 and th...