Studies in bioconversions have continuously sought the development of processing strategies to overcome the "close physical association" between plant cell wall polymers thought to significantly contribute to biomass recalcitrance [Adv Space Res 18 :251996], 1996],[ Science 315 :804–807, 2007].
Thus, the definition of big data changes in accordance with the development of processing power, memory size, data transfer rate on disks and networks, data organization and representation, and analytical models.
The advances in the development of signal processing techniques for multipath mitigation have led to a continual improvement of performance.
In this study, we focus on the development of image processing techniques for wave measurement in a wave flume as a tool to replace traditional wave gauges, which are complicated to use, costly and intrusive.
Research on the development of speech processing in bilingual children has typically implemented a cross-sectional design and relied on behavioral measures.
In the silicon processing front, challenges resolved to overcome issues of drastically reduced process windows caused by the dense PhC rods arrays with critical dimensions (CDs) reduced to only a few hundred nanometers were addressed not only in terms of critical process flow design but also in the development of each processing module.
The progress in the development of automatic processing techniques (e.g., Yoon et al. 2015; Tamaribuchi et al. 2016 for hypocenter determination and Omi et al. 2013 for b-value estimation) will become increasingly important.
This is especially useful in the development of dedicated processing components that are not featured in Argo.
Implementation of INDE will be dependent on future advances in High Performance Computing systems approaching the exascale and parallel advances in the development of algorithms for processing large amounts of data.
Although a reasonable amount of progress have occurred in recent years in the general ASR technology by exploiting more complex algorithms with the help of faster computing [1], little progress has been reported in the development of core speech processing algorithms.
