Tracking Items Through Rfid and Solving Heterogeneity Problems During a Collaboration Between Port Companies
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 2
Abstract
In this article, we are proposing an architecture that enables improvements in various steps of the collaboration process between different port companies, based on the use of ontologies, multi-agent systems and RFIDs. This approach allows us to collect and present all the data stored in each information system, by exchanging and incorporating any data to facilitate its processing while respecting the territory regulation and compliance, and data confidentiality between all these port companies in a cooperative environment. Thanks to the use of RFID (radio frequency identification), this architecture can also deal with the process of tracking commodities belonging to any company that is included in this collaboration process, while each item will be monitored and tracked in real time.
Authors and Affiliations
Mehdi ABID, Benayad NSIRI, Yassine SERHANE, Haitam AGHARI
Keywords
Related Articles
- EP ID EP154040
- DOI 10.14569/IJACSA.2016.070230
- Views 123
- Downloads 0
User-Based Interaction for Content-Based Image Retrieval by Mining User Navigation Patterns.
In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) tec...
Vismarkmap – A Web Search Visualization Technique through Visual Bookmarking Approach with Mind Map Method
Due to the massive growth of information over the Internet, Bookmarking becomes the most popular technique to keep track of the websites with the expectation of finding out the previously searched websites easily wheneve...
A Survey of Topic Modeling in Text Mining
Topic models provide a convenient way to analyze large of unclassified text. A topic contains a cluster of words that frequently occur together. A topic modeling can connect words with similar meanings and distinguish be...
Sea Lion Optimization Algorithm
This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting behavior of sea lions in nature. Moreover, it...
A Recurrent Neural Network and a Discrete Wavelet Transform to Predict the Saudi Stock Price Trends
Stock markets can be characterised as being complex, dynamic and chaotic environments, making the prediction of stock prices very tough. In this research work, we attempt to predict the Saudi stock price trends with rega...