An indexing scheme for energy-efficient processing of content-based retrieval queries on a wireless data stream

2007 ◽  
Vol 177 (2) ◽  
pp. 525-542 ◽  
Author(s):  
Yon Dohn Chung
Keyword(s):  
Energy Efficient ◽  
Data Stream ◽  
Wireless Data ◽  
Content Based Retrieval ◽  
Indexing Scheme ◽  
Efficient Processing

scholarly journals An energy-efficient and access latency optimized indexing scheme for wireless data broadcast

2006 ◽  
Vol 18 (8) ◽  
pp. 1111-1124 ◽  
Author(s):  
Yuxia Yuxia Yao ◽  
Xueyan Xueyan Tang ◽  
Ee-Peng Ee-Peng Lim ◽  
Aixin Aixin Sun
Keyword(s):  
Energy Efficient ◽  
Wireless Data ◽  
Indexing Scheme ◽  
Data Broadcast ◽  
Access Latency ◽  
Wireless Data Broadcast

scholarly journals The Energy-Efficient Processing of Fine Materials by the Micropyretic Synthesis Route

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
H. P. Li
Keyword(s):  
Energy Efficient ◽  
Processing Time ◽  
Combustion Temperature ◽  
Processing Parameters ◽  
The Novel ◽  
Diffusion Controlled ◽  
Efficient Processing ◽  
The One ◽  
Processing Techniques ◽  
Diffusion Controlled Reaction

Energy-efficient processing of TiB compound with nanowhiskers by micropyretic synthesis is investigated in this paper. Micropyretic synthesis not only offers shorter processing time but also excludes the requirement for high-temperature sintering and it is considered as the one of the novel energy-saving processing techniques. Experimental study and numerical simulation are both carried out to investigate the correlation of the processing parameters on the microstructures of the micropyretically synthesized products. The diffusion-controlled reaction mechanism is proposed in this study. It is noted that nanosize TiB whiskers only occurred when the combustion temperature is lower than the melting point of TiB but higher than the extinguished temperature. The results generated in the numerical calculation can be used as a helpful reference to select the proper route of processing nanosize materials. The Arrhenius-type plot of size and temperature is used to calculate the activation energy of TiB reaction. In addition to verifying the accuracy of the experimental measures, the reaction temperature for producing the micropyretically synthesized products with nanofeatures can be predicted.

scholarly journals Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments

2015 ◽  
Vol 319 ◽  
pp. 92-112 ◽  
Author(s):  
Dawei Sun ◽  
Guangyan Zhang ◽  
Songlin Yang ◽  
Weimin Zheng ◽  
Samee U. Khan ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Energy Efficient ◽  
Data Stream ◽  
Resource Scheduling ◽  
Stream Computing ◽  
Efficient Resource ◽  
Computing Environments ◽  
Time And Energy

scholarly journals High Performance Energy Efficient Computation Elements of Processing Unit

2019 ◽  
Vol 9 (2) ◽  
pp. 2450-2455
Keyword(s):  
Energy Efficient ◽  
High Performance ◽  
Logic Gate ◽  
Processing Unit ◽  
Efficient Computation ◽  
Quartus Ii ◽  
Efficient Processing ◽  
Exclusive Or ◽  
Design Logic

in our manuscript, various circuits for arithmetic summation are compared. Cadence 90nm technology and Quartus II EP2C20F484C7 are used for implementation of design. Logic gate-based adders, PFCA, TG and HSD technique-based adders characteristics are analyzed. Y finding is PFCA with 10T transistor performs slightly efficient compare to its counterpart. Exclusive OR-NOR design is optimum for least delay Adders for high performance energy efficient processing unit.

RCUBE

2010 ◽  
pp. 107-120
Author(s):  
Frank Dehne ◽  
Todd Eavis ◽  
Andrew Rau-Chaplin
Keyword(s):  
High Dimensions ◽  
Indexing Scheme ◽  
Query Performance ◽  
Data Cubes ◽  
Efficient Processing

This chapter addresses the query performance issue for Relational OLAP (ROLAP) data cubes. The authors present RCUBE, a distributed multi-dimensional ROLAP indexing scheme which is practical to implement, requires only a small communication volume, and is fully adapted to distributed disks. Their solution is efficient for spatial searches in high dimensions and scalable in terms of data sizes, dimensions, and number of processors. Their method is also incrementally maintainable. Using “surrogate” group-bys, it allows for the efficient processing of arbitrary OLAP queries on partial cubes, where not all of the group-bys have been materialized. Experiments with RCUBE show that the ROLAP advantage of better scalability, in comparison to MOLAP, can be maintained while providing, at the same time, a fast and flexible index for OLAP queries.

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