A Method of Numbered STL File Format for Recording Data

2013 ◽  
Vol 462-463 ◽  
pp. 1102-1105
Author(s):  
Li Li Zeng
Keyword(s):  
Data Storage ◽  
File Format ◽  
Triangular Meshes ◽  
Improved Method ◽  
Storage Model ◽  
Stl File ◽  
High Repetition ◽  
Depth Images ◽  
Normal Vectors

The paper has proposed an improved method of recording data in STL file format against disadvantages, such as high repetition of recording triangular meshes data and complex computation of vertex coordinate. Vertexes and normal vectors of triangular meshes are renumbered, and meshes data expressed by coordinate is changed into data stored by number. It facilitates the recording of triangular meshes data of depth images and provides a more simple way for establishing data storage model.

Research on the Three-Dimensional Displaying of STL ASCII and Binary File

2014 ◽  
Vol 940 ◽  
pp. 433-436 ◽  
Author(s):  
Ying Zhang ◽  
Xin Shi
Keyword(s):  
Detailed Analysis ◽  
Programming Language ◽  
Coordinate Transformation ◽  
Graphical Representation ◽  
Three Dimensional ◽  
File Format ◽  
Binary File ◽  
Stl File ◽  
File Formats ◽  
Three Dimensional Display

Based on the detailed analysis of the STL file format, VC++ 6.0 programming language was used to extract the STL ASCII and binary file information, at the same time, using the OpenGL triangle drawing technology for graphical representation of the STL file, with rendering functions such as material, coordinate transformation, lighting, et al, finally realizing the loading and three-dimensional display of STL ASCII and binary file formats.

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

scholarly journals An Optimization Technique of the 3D Indoor Map Data Based on an Improved Octree Structure

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xiaomin Yu ◽  
Huiqiang Wang ◽  
Hongwu Lv ◽  
Junqiang Fu
Keyword(s):  
Data Storage ◽  
Optimization Technique ◽  
Data Retrieval ◽  
Retrieval Algorithm ◽  
Storage Structure ◽  
Storage Model ◽  
Indoor Space ◽  
Close Relationship ◽  
Time Requirements ◽  
Map Data

The construction and retrieval of indoor maps are important for indoor positioning and navigation. It is necessary to ensure a good user experience while meeting real-time requirements. Unlike outdoor maps, indoor space is limited, and the relationship between indoor objects is complex which would result in an uneven indoor data distribution and close relationship between the data. A data storage model based on the octree scene segmentation structure was proposed in this paper initially. The traditional octree structure data storage model has been improved so that the data could be backtracked. The proposed method will solve the problem of partition lines within the range of the object data and improve the overall storage efficiency. Moreover, a data retrieval algorithm based on octree storage structure was proposed. The algorithm adopts the idea of “searching for a point, points around the searched point are within the searching range.” Combined with the octree neighbor retrieval methods, the closure constraints are added. Experimental results show that using the improved octree storage structure, the retrieval cost is 1/8 of R-tree. However, by using the neighbor retrieval, it improved the search efficiency by about 27% on average. After adding the closure constraint, the retrieval efficiency increases by 25% on average.

Massive 3D spatial data storage model based on file system

2010 ◽  
Author(s):  
Ka Sun ◽  
Chonglong Wu ◽  
Gang Liu ◽  
Yingying Li ◽  
Pinqian Wang
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
File System ◽  
Storage Model ◽  
Model Based

scholarly journals A Split-Path Schema-Based RFID Data Storage Model in Supply Chain Management

Sensors ◽  
2013 ◽  
Vol 13 (5) ◽  
pp. 5757-5776 ◽  
Author(s):  
Hua Fan ◽  
Quanyuan Wu ◽  
Yisong Lin ◽  
Jianfeng Zhang
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Data Storage ◽  
Chain Management ◽  
Storage Model ◽  
Rfid Data

A Multi-Dimensional Data Storage Using Quad-Tree and Z-Ordering

2013 ◽  
Vol 347-350 ◽  
pp. 2436-2441
Author(s):  
Fang Hou ◽  
Cheng Hui Huang ◽  
Ji Yuan Lu
Keyword(s):  
Data Storage ◽  
Performance Test ◽  
Tree Structure ◽  
File Format ◽  
Test Results ◽  
Space Filling ◽  
Space Filling Curves ◽  
Quad Tree

Multi-dimensional applications use tree structure to store data and space filling curves to traverse data. Most frequently used Quad-tree and Z-ordering curve are analyzed. By importing these to a HDF5 file format, a multi-dimensional data storage subsystem is constructed. Performance test results show in a sequential reading application environment, this method is feasible and efficient.

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