Response surface methodology as a means for efficient data storage and retrieval

1987 ◽  
Vol 8 (1) ◽  
pp. 351-362 ◽  
Author(s):  
K. P. White
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Data Storage ◽  
Storage And Retrieval ◽  
Efficient Data

scholarly journals Calibration Method for a Parallel Mechanism Type Machine Tool by Response Surface Methodology –Consideration via Simulation on a Stewart Platform Mechanism–

2010 ◽  
Vol 4 (4) ◽  
pp. 355-363 ◽  
Author(s):  
Hiroshi Yachi ◽  
◽  
Hiroshi Tachiya
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Parallel Mechanism ◽  
Measurement Data ◽  
Calibration Method ◽  
Stewart Platform ◽  
Parallel Mechanisms ◽  
Data Set ◽  
Efficient Data ◽  
Efficient Measurement

This paper proposes a calibration method for parallel mechanisms usingResponse Surface Methodology. This method is a statistical approach to estimating an unknown input-output relationship using a small set of efficient data collected on an intended system. Although identifying locations causing positional errors in a parallel mechanism and precisely measuring the position and posture of the output point are difficult, the proposed calibration method based onResponse Surface Methodologyaims to compensate for positional and postural errors, without indentifying the locations causing these errors, by using a small yet efficient measurement data set. This study analyzes the effectiveness of the method we propose by applying it to a Stewart platform, which is a typical spatial 6-DOF parallel mechanism.

scholarly journals “GPress: a framework for querying General Feature Format (GFF) files and feature expression files in a compressed form”

2019 ◽  
Author(s):  
Qingxi Meng ◽  
Idoia Ochoa ◽  
Mikel Hernaez
Keyword(s):  
Data Storage ◽  
General Feature ◽  
Storage Space ◽  
Sequencing Data ◽  
Unique Identifier ◽  
Storage And Retrieval ◽  
Data Formats ◽  
General Feature Format ◽  
Efficient Data ◽  
Feature Expression

1Abstract1.1MotivationSequencing data are often summarized at different annotation levels for further analysis. The general feature format (GFF) and its descendants, the gene transfer format (GTF) and GFF3, are the most commonly used data formats for genomic annotations. These files are extensively updated, queried and shared, and hence as the number of generated GFF files increases, efficient data storage and retrieval are becoming increasingly important. Existing GFF utilities for accessing these files, like gffutils and gffread, do not focus on reducing the storage space, significantly increasing it in some cases. Hence, we propose GPress, a framework for querying GFF files in a compressed form. In addition, GPress can also incorporate and compress feature expression files, supporting simultaneous queries on both files.1.2ResultsWe tested GPress on several GFF files of different organisms, and showed that it achieves on average a 98% reduction in size, while being able to retrieve all annotations for a given identifier or a range of coordinates in a few seconds. For example, on a Human GFF file, GPress can find all items with a unique identifier in 2.47 seconds and all items with coordinates within the range of 1,000 to 100,000 in 4.61 seconds. In contrast, gffutils provides faster retrieval but doubles the size of the GFF files. When additionally linking an expression file, we show that GPress can reduce the size of the expression file by more than 92%, while still retrieving the information within seconds. GPress is freely available at https://github.com/qm2/gpress.

Accurate and Systematic Numerical Recording System for the Identification of Various Types of Lip and Maxillary Clefts (RPL SYSTEM)

1993 ◽  
Vol 30 (3) ◽  
pp. 330-332 ◽  
Author(s):  
Stephane Schwartz ◽  
Jon T. Kapala ◽  
Harry Rajchgot ◽  
Gordon L. Roberts
Keyword(s):  
Data Storage ◽  
Recording System ◽  
Oral Cleft ◽  
Storage And Retrieval ◽  
Efficient Data

Inaccuracies exist in identifying and recording various types of oral cleft. One of the major reasons for this problem is that no efficient or universally accepted recording system presently exists. The RPL system introduced in this article provides an accurate and systematic numerical recording for the identification of various types of lip and maxillary clefts. The simplicity of the system allows quick and efficient data storage and retrieval.

Sign in / Sign up

Export Citation Format

Share Document