IDENTIFICATION OF EMPLOYEES USING RFID IN IE-NTUA

Abstract

During the last decade with the rapid increase in indoor wireless communications, location-aware services have received a great deal of attention for commercial, public-safety, and a military application, the greatest challenge associated with indoor positioning methods is moving object data and identification. Mobility tracking and localization are multifaceted problems, which have been studied for a long time in different contexts. Many potential applications in the domain of WSNs require such capabilities. The mobility tracking needs inherent in many surveillance, security and logistic applications. This paper presents the identification of employees in National Technical University in Athens (IE-NTUA), when the employees access to a certain area of the building (enters and leaves to/from the college), Radio Frequency Identification (RFID) applied for identification by offering special badges containing RFID-tags.

Authors and Affiliations

Rashid Ahmed, John Avaritsiotis

Keywords

Related Articles

Generating and Analyzing Chatbot Responses using Natural Language Processing

Customer support has become one of the most important communication tools used by companies to provide before and after-sale services to customers. This includes communicating through websites, phones, and social media p...

Fuzzy Based Evaluation of Software Quality Using Quality Models and Goal Models

Software quality requirements are essential part for the success of software development. Defined and guaranteed quality in software development requires identifying, refining, and predicting quality properties by approp...

Effect of Service Broker Policies and Load Balancing Algorithms on the Performance of Large Scale Internet Applications in Cloud Datacenters

Cloud computing is advancing rapidly. With such advancement, it has become possible to develop and host large scale distributed applications on the Internet more economically and more flexibly. However, the geographical...

Experimental Analysis of Color Image Scrambling in the Spatial Domain and Transform Domain

This paper proposes two image-scrambling algorithms based on self-generated keys. First color image scrambling method works in the spatial domain, and second, works in the transform domain. The proposed methods cull the...

Color Image Segmentation via Improved K-Means Algorithm

Data clustering techniques are often used to segment the real world images. Unsupervised image segmentation algorithms that are based on the clustering suffer from random initialization. There is a need for efficient and...

Download PDF file
  • EP ID EP93690
  • DOI 10.14569/IJACSA.2013.041001
  • Views 91
  • Downloads 0

How To Cite

Rashid Ahmed, John Avaritsiotis (2013). IDENTIFICATION OF EMPLOYEES USING RFID IN IE-NTUA. International Journal of Advanced Computer Science & Applications, 4(10), 1-5. https://europub.co.uk./articles/-A-93690