Composable Modeling Method for Generic Test Platform for Cbtc System Based on the Port Object
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 12
Abstract
The Communications-based train control(CBTC) system has gradually become the first choice for signal systems of urban mass transit. However, how to guarantee its safety has become a research hotspot in safety fields. The generic test system with high efficiency has become the main means to verify the function and performance of CBTC system. This paper discusses a composable modeling method for the generic test platform for CBTC system based on the port object. This method defines the port object(PO) model as the basic component for composable modeling, verifies its port behavior and generates its compositional properties. Based on the port description and the test environment description, it builds port sets and environment port cluster, respectively. Then it analyzes and extracts possible crosscutting concerns, and finally generates a variable PO component library. It takes the modeling of block port objects in line simulation of generic test platform for CBTC systems as an example to verify the feasibility of the method.
Authors and Affiliations
WAN Yongbing, WANG Daqing, MEI Meng
Keywords
Related Articles
- EP ID EP101256
- DOI 10.14569/IJACSA.2015.061230
- Views 102
- Downloads 0
Opinion Mining: An Approach to Feature Engineering
Sentiment Analysis or opinion mining refers to a process of identifying and categorizing the subjective information in source materials using natural language processing (NLP), text analytics and statistical linguistics....
Comparison Study of Different Lossy Compression Techniques Applied on Digital Mammogram Images
The huge growth of the usage of internet increases the need to transfer and save multimedia files. Mammogram images are part of these files that have large image size with high resolution. The compression of these images...
Cloud-Based Processing on Data Science for Visualization
The big data processing and visualization have the challenge on method and process. The volume, variety, velocity, and veracity in the big data need to handle for visualizing the data. The research work investigates, des...
An Efficient Normalized Restricted Boltzmann Machine for Solving Multiclass Classification Problems
Multiclass classification based on unlabeled images using computer vision and image processing is currently an important issue. In this research, we focused on the phenom-ena of constructing high-level features detector...
Image Processing Based Customized Image Editor and Gesture Controlled Embedded Robot Coupled with Voice Control Features
In modern sciences and technologies, images gain much broader scopes due to the ever growing importance of scientific visualization (of often large-scale complex scientific/experimental data) like microarray data in gene...