A Novel Approach for Efficient Storage and Retrieval of Tabulated Chemistry in Reactive Flow Simulations

2017 ◽  
pp. 82-95
Author(s):  
Sebastian Popp ◽  
Steffen Weise ◽  
Christian Hasse
Keyword(s):  
Reactive Flow ◽  
Flow Simulations ◽  
Storage And Retrieval ◽  
Efficient Storage ◽  
Novel Approach ◽  
Tabulated Chemistry

scholarly journals Storage Method of Multi-Channel Lidar Data Based on Tree Structure

2022 ◽  
Author(s):  
Hao Chen ◽  
Fei Gao ◽  
Qingsong Zhu ◽  
Qing Yan ◽  
Dengxin Hua ◽  
...  
Keyword(s):  
Data Storage ◽  
Large Data ◽  
Tree Structure ◽  
Lidar Data ◽  
Storage And Retrieval ◽  
Efficient Storage ◽  
Novel Approach ◽  
Data Volume ◽  
Acquisition Speed ◽  
Storage Methods

Abstract The multi-channel lidar has the characteristics of fast acquisition speed, large data volume, high dimension, and strong real-time storage, which makes it difficult to be met using the traditional lidar data storage methods. This paper presents a novel approach to store and convert the multi-channel lidar data by traversal method of the tree structure and binary code. In the proposed approach, a tree structure is constructed based on the multi-dimensional characteristics of multi-channel lidar data and the hierarchical relationship between them. The adjacency table storage structure data in the memory is used to generate the sub-tree of the multi-channel lidar data. The results show that the proposed tree structure approach can save the storage capacity and improve the retrieval speed, which can meet the needs of efficient storage and retrieval of multi-channel lidar data.

Design and Implementation of Efficient Storage and Retrieval Technology of Traffic Big Data

2019 ◽  
Vol 4 (2) ◽  
pp. 207-220
Author(s):  
김기수 ◽  
Yukun Hahm ◽  
장유림 ◽  
Jaejin Yi ◽  
HONGHOI KIM
Keyword(s):  
Big Data ◽  
Storage And Retrieval ◽  
Design And Implementation ◽  
Efficient Storage

scholarly journals Genetic association testing using the GENESIS R/Bioconductor package

2019 ◽  
Author(s):  
Stephanie M Gogarten ◽  
Tamar Sofer ◽  
Han Chen ◽  
Chaoyu Yu ◽  
Jennifer A Brody ◽  
...  
Keyword(s):  
Data Storage ◽  
Genomic Analysis ◽  
Supplementary Information ◽  
Storage And Retrieval ◽  
Association Testing ◽  
Link Functions ◽  
Efficient Storage ◽  
Genetic Association Testing ◽  
Analysis Workflow ◽  
Complete Genomic

Abstract Summary The Genomic Data Storage (GDS) format provides efficient storage and retrieval of genotypes measured by microarrays and sequencing. We developed GENESIS to perform various single- and aggregate-variant association tests using genotype data stored in GDS format. GENESIS implements highly flexible mixed models, allowing for different link functions, multiple variance components and phenotypic heteroskedasticity. GENESIS integrates cohesively with other R/Bioconductor packages to build a complete genomic analysis workflow entirely within the R environment. Availability and implementation https://bioconductor.org/packages/GENESIS; vignettes included. Supplementary information Supplementary data are available at Bioinformatics online.

CBDR: An efficient storage repository for cultural big data

2019 ◽  
Vol 35 (4) ◽  
pp. 893-903 ◽  
Author(s):  
Seemu Sharma ◽  
Seema Bawa
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
High Performance ◽  
Big Data Analytics ◽  
Data Repository ◽  
Common People ◽  
Data Repositories ◽  
Storage And Retrieval ◽  
Efficient Storage ◽  
Cultural Data

Abstract Cultural data and information on the web are continuously increasing, evolving, and reshaping in the form of big data due to globalization, digitization, and its vast exploration, with common people realizing the importance of ancient values. Therefore, before it becomes unwieldy and too complex to manage, its integration in the form of big data repositories is essential. This article analyzes the complexity of the growing cultural data and presents a Cultural Big Data Repository as an efficient way to store and retrieve cultural big data. The repository is highly scalable and provides integrated high-performance methods for big data analytics in cultural heritage. Experimental results demonstrate that the proposed repository outperforms in terms of space as well as storage and retrieval time of Cultural Big Data.

The use of dynamic adaptive chemistry and tabulation in reactive flow simulations

2014 ◽  
Vol 161 (1) ◽  
pp. 127-137 ◽  
Author(s):  
Zhuyin Ren ◽  
Yufeng Liu ◽  
Tianfeng Lu ◽  
Liuyan Lu ◽  
Oluwayemisi O. Oluwole ◽  
...  
Keyword(s):  
Reactive Flow ◽  
Flow Simulations ◽  
Adaptive Chemistry
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