Adaptive Partitioning and Order-Preserved Merging of Data Streams

Now-a-days data streams or information streams are gigantic and quick changing. The usage of information streams can fluctuate from basic logical, scientific applications to vital business and money related ones. The useful information is abstracted from the stream and represented in the form of micro-clusters in the online phase. In offline phase micro-clusters are merged to form the macro clusters. DBSTREAM technique captures the density between micro-clusters by means of a shared density graph in the online phase. The density data in this graph is then used in reclustering for improving the formation of clusters but DBSTREAM takes more time in handling the corrupted data points In this paper an early pruning algorithm is used before pre-processing of information and a bloom filter is used for recognizing the corrupted information. Our experiments on real time datasets shows that using this approach improves the efficiency of macro-clusters by 90% and increases the generation of more number of micro-clusters within in a short time.

Download Full-text

Advanced signal processing system for demodulation, equalization and crosspol optimization of GBPS data streams

10.2514/6.1994-957 ◽

1994 ◽

Author(s):

Thomas Kolze ◽

Pascal Finkenbeiner ◽

Keith Yamashiro

Keyword(s):

Signal Processing ◽

Data Streams ◽

Processing System ◽

Signal Processing System

Download Full-text

On-the-Fly Determination of Active Region Centers in Adaptive-Partitioning QM/MM

10.26434/chemrxiv.12376919 ◽

2020 ◽

Author(s):

Zenghui Yang

Keyword(s):

Quantum Mechanics ◽

Active Region ◽

Molecular Mechanics ◽

Active Regions ◽

Available Energy ◽

Adaptive Partitioning ◽

Different Levels

Quantum mechanics/molecular mechanics (QM/MM) methods partition the system into active and environmental regions and treat them with different levels of theory, achieving accuracy and efficiency at the same time. Adaptive-partitioning (AP) QM/MM methods allow on-the-fly changes to the QM/MM partitioning of the system. Many of the available energy-based AP-QM/MM methods partition the system according to distances to pre-chosen centers of active regions. For such AP-QM/MM methods, I develop an adaptive-center (AC) method that allows on-the-fly determination of the centers of active regions according to general geometrical or potential-related criteria, extending the range of application of energy-based AP-QM/MM methods to systems where active regions may occur or vanish during the simulation.

Download Full-text