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The multimodal biometric systems optimization is approached with a biometric data fusion model that is based on an intra-modal and inter-modal feature combination. The intra-modal feature fusion is applied for the same biometric trait and it is suitable also for a system with a single biometric (unimodal). The inter-modal feature fusion is applied for multi-biometric systems (multimodal). The proposed...
The paper proposes a classification model for human behavioral patterns recognition in which the decisions are provided based on several Support Vector Machines classifiers within a multi-level decision structure. SVMs are suitable for applications in which the input data feature spaces are very large, involving many features. The human behavior recognition is a relevant example of such application...
This paper presents a design approach of a reliable authentication system for mobile applications (such as those within m-Health or m-Banking areas). This means that the biometric data processing should optimize the security performance vs. the computational complexity. The security is given by the combination of fingerprint, iris and voice features that define the multimodal pattern of an individual...
The paper proposes a telemonitoring wearable system to be used by firefighters in dangerous missions. The current work is based on previous research of the authors conducted on heat and mental stress detection and on physiological parameters monitoring using wearable systems. A wearable garment was designed to monitor the wearer's physiological signals and the ambient conditions (temperature and humidity)...
The paper describes the steps involved in designing and implementing a mobile app for real time monitoring of mental stress using voice features and machine learning techniques. The app is easy to use and completely non-invasive. It is called StressID and it is available in the Google Play store. With the use of a server application presenting a web interface, interested parties may remotely monitor...
This paper presents different approaches for developing a speaker recognition system to be used in a voice control interface for an assistive domotic system. Experimental research has been carried out in Matlab, using the Voicebox toolbox for data preparation and feature extraction and using lib SVM for speaker recognition.
Daryl Pregibon — Google Inc. Research Scientist states that: “Data Mining is a mixture of statistics, artificial intelligence and database research.” In other words, the purpose of this process is the automatic discovery of knowledge hidden in data using various computational techniques. The purpose of this work is represented by the analysis of the impact of GRID technology for storing and processing...
Big Data is a term defining data that has three main characteristics. First, it involves a great volume of data. Second, the data cannot be structured into regular database tables and third, the data is produced with great velocity and must be captured and processed rapidly. Oracle adds a fourth characteristic for this kind of data and that is low value density, meaning that sometimes there is a very...
With the rapid growth in number and dimension of databases and database applications in business, administrative, industrial and other fields, it is necessary to examine the automatic extraction of knowledge from these large databases. Due to knowledge extraction from databases, these have become rich and safe sources for generating and verification of knowledge, and the knowledge discovery can be...
In recent years, E-learning has been in a continuous development, due to the fact that it eases the process of teaching, evaluation and selfevaluation, offering schedulling flexibility and a tool support. E-learning makes learning content available even in remote locations, eliminating the need to travel to the place where the content is delivered. Nevertheless, the current E-learning platforms have...
This paper is aiming to highlight the way in which GNU General Public License (GNU/GPL) is influencing the studying programs in the field of Systems Engineering, Automatics and Applied Informatics specialization, in the way that it is offering to the users the freedom of developing different packages and informatics applications, necessary to accumulate new knowledge for the students. The objective...
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