Incremental Validation of String-Based XML Data in Databases, File Systems, and Streams

2007 ◽  
pp. 314-329
Author(s):  
Beda Christoph Hammerschmidt ◽  
Christian Werner ◽  
Ylva Brandt ◽  
Volker Linnemann ◽  
Sven Groppe ◽  
...  
Keyword(s):  
File Systems ◽  
Xml Data ◽  
Incremental Validation

A Narrative Review of Storing and Querying XML Documents Using Relational Database

2019 ◽  
Vol 18 (04) ◽  
pp. 1950048
Author(s):  
Amjad Qtaish ◽  
Mohammad T. Alshammari
Keyword(s):  
Relational Database ◽  
File Systems ◽  
Data Representation ◽  
Xml Data ◽  
Xml Documents ◽  
Data Interchange ◽  
Extensible Markup ◽  
Data Environment ◽  
Object Oriented Database ◽  
The Web

Extensible Markup Language (XML) has become a common language for data interchange and data representation in the Web. The evolution of the big data environment and the large volume of data which is being represented by XML on the Web increase the challenges in effectively managing such data in terms of storing and querying. Numerous solutions have been introduced to store and query XML data, including the file systems, Object-Oriented Database (OODB), Native XML Database (NXD), and Relational Database (RDB). Previous research attempts indicate that RDB is the most powerful technology for managing XML data to date. Because of the structure variations of XML and RDB, the need to map XML data to an RDB scheme is increased. This growth has prompted numerous researchers and database vendors to propose different approaches to map XML documents to an RDB, translating different types of XPath queries to SQL queries and returning the results to an XML format. This paper aims to comprehensively review most cited and latest mapping approaches and database vendors that use RDB solution to store and query XML documents, in a narrative manner. The advantages and the drawbacks of each approach is discussed, particularly in terms of storing and querying. The paper also provides some insight into managing XML documents using RDB solution in terms of storing and querying and contributes to the XML community.

TDTMS: An Algorithm for Subtree Results Construction on XML Data

2014 ◽  
Vol 36 (8) ◽  
pp. 1714-1728
Author(s):  
Jun-Feng ZHOU ◽  
Bo WANG ◽  
Shan-Shan TIAN ◽  
Zi-Yang CHEN ◽  
Jing-Feng GUO
Keyword(s):  
Xml Data

Efficient Entity Resolution on XML Data Based on Entity-Describe-Attribute

2011 ◽  
Vol 34 (11) ◽  
pp. 2131-2141 ◽  
Author(s):  
Ya-Kun LI ◽  
Hong-Zhi WANG ◽  
Hong GAO ◽  
Jian-Zhong LI
Keyword(s):  
Entity Resolution ◽  
Xml Data

scholarly journals Impact on Quality of Life of Patients Treated by Different File Systems for Root Canal Treatment

2021 ◽  
Author(s):  
L.S. Priyanka ◽  
Lakshmi Nidhi Rao ◽  
Aditya Shetty ◽  
Mithra N. Hegde ◽  
Chitharanjan Shetty
Keyword(s):  
Quality Of Life ◽  
Oral Health ◽  
Postoperative Pain ◽  
Root Canal ◽  
File Systems ◽  
Study Groups ◽  
Significant Difference ◽  
Related Quality ◽  
The Impact

Abstract Introduction The outcomes of oral health conditions and therapy for those conditions are described by the term “oral health-related quality of life.” Oral health-related quality of life is recognized by the World Health Organization as an important part of the Global Oral Health Program. The study aims to compare the impact of three root canal preparation systems on patients’ quality of life and correlate postoperative pain with the impact on the quality of life. Materials and Methods A survey was performed in which 90 patients were randomly assigned to three groups based on the root canal preparation system: (1) ProTaper Gold (Dentsply, Tulsa Dental Specialties, Tulsa, Oklahoma, United States), (2) Neoendo flex (Neoendo, India),and (3) Hyflex EDM/CM (Coltene Whaledent) that included 30 participants in each group. Data collection included the implementation of a demographic data questionnaire, Oral Health Impact Profile 14 (quality of life), and visual analogue scale(pain). The questionnaire was given after root canal treatment in the first 24 hours. The data obtained were statistically analyzed. Results No significant differences were found in the quality of life among study groups. Group 1 demonstrated a highly significant difference in the postoperative pain with p value of 2.67. Conclusion Within the limitations of the present study, Protaper Gold showed a highly significant difference in postoperative pain when compared with other file systems. No significant differences were found in the quality of life among the study groups.

FILT: Optimizing KV-Embedded File Systems through Flat Indexing

2020 ◽  
Author(s):  
Chen Chen ◽  
Tongliang Deng ◽  
Jian Zhang ◽  
Yanliang Zou ◽  
Xiaomin Zhu ◽  
...  
Keyword(s):  
File Systems

scholarly journals Calibration of Camera and Flash LiDAR System with a Triangular Pyramid Target

2021 ◽  
Vol 11 (2) ◽  
pp. 582
Author(s):  
Zean Bu ◽  
Changku Sun ◽  
Peng Wang ◽  
Hang Dong
Keyword(s):  
Simulated Data ◽  
Real Data ◽  
Calibration Method ◽  
Multiple Sensors ◽  
Triangular Pyramid ◽  
World Coordinate System ◽  
Flash Lidar ◽  
Novel Method ◽  
3D Information ◽  
Incremental Validation

Calibration between multiple sensors is a fundamental procedure for data fusion. To address the problems of large errors and tedious operation, we present a novel method to conduct the calibration between light detection and ranging (LiDAR) and camera. We invent a calibration target, which is an arbitrary triangular pyramid with three chessboard patterns on its three planes. The target contains both 3D information and 2D information, which can be utilized to obtain intrinsic parameters of the camera and extrinsic parameters of the system. In the proposed method, the world coordinate system is established through the triangular pyramid. We extract the equations of triangular pyramid planes to find the relative transformation between two sensors. One capture of camera and LiDAR is sufficient for calibration, and errors are reduced by minimizing the distance between points and planes. Furthermore, the accuracy can be increased by more captures. We carried out experiments on simulated data with varying degrees of noise and numbers of frames. Finally, the calibration results were verified by real data through incremental validation and analyzing the root mean square error (RMSE), demonstrating that our calibration method is robust and provides state-of-the-art performance.

Sign in / Sign up

Export Citation Format

Share Document