Within a digital map service environment, the rapid growth of Spatial Big-Data is driving new requirements for effective mechanisms for massive online vector map tile processing. The emergence of Not Only SQL (NoSQL) databases has resulted in a new data storage and management model for scalable spatial data deployments and fast tracking. They better suit the scenario of high-volume, low-latency...

This paper proposes a useful technique for generating an earth resistivity map. Earth resistance is one of essential factors in a broad range of power system analysis and design. Information of earth resistivity is helpful for practical power system engineers in order to establish power system grounding. In this paper, a LANSAT7 image of a tested area of 50 km was used by ENVI program in associ...

Aims. Archeops is a balloon-borne experiment inspired by the Planck satellite and its high frequency instrument (HFI). It is designed to measure the cosmic microwave background (CMB) temperature anisotropies at high angular resolution (∼12 arcmin) over a large fraction of the sky (around 30%) at 143, 217, 353, and 545 GHz. The Archeops 353 GHz channel consists of three pairs of polarized sensit...

The flexibility of MAPK cascade responses enables regulation of a vast array of cell fate decisions, but elucidating the mechanisms underlying this plasticity is difficult in endogenous signaling networks. We constructed insulated mammalian MAPK cascades in yeast to explore how intrinsic and extrinsic perturbations affect the flexibility of these synthetic signaling modules. Contrary to biphasi...

In this paper, we present a system for information retrieval of biomedical texts at passage level. Our system used KL-divergence as the underlying retrieval model. We further added query expansion and performed post-processing on the results. We were able to obtain a Document MAP of 0.3563, Passage MAP of 0.0464 and Aspect MAP of 0.2255 on one of the three runs.

Hadoop is a Java-based programming framework which supports for storing and processing big data in a distributed computing environment. It is using HDFS for data storing and using Map Reduce to processing that data. Map Reduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Map Reduce is widely used for short jo...