A Repeated Signal Difference for Recognising Patterns

This paper describes a new mechanism that might help with defining pattern sequences, by the fact that it can produce an upper bound on the ensemble value that can persistently oscillate with the actual values produced from each pattern. With every firing event, a node also receives an on/off feedback

An Efficient Combined Meta-Heuristic Algorithm for Solving the Traveling Salesman Problem

The traveling salesman problem (TSP) is one of the most important NP-hard Problems and probably the most famous and extensively studied problem in the field of combinatorial optimization. In this problem, a salesman is required to visit each of n given nodes once and only once, starting from any node and returning

Prediction of Thyroid Disease Using Data Mining Techniques

Recently, thyroid diseases are more and more spread worldwide. In Romania, for example, one of eight women suffer from hypothyroidism, hyperthyroidism or thyroid cancer. Various research studies estimate that about 30% of Romanians are diagnosed with endemic goiter. The factors that affect the thyroid function are: stress, infection, trauma, toxins,

Participative Teaching with Mobile Devices and Social Networks for K-12 Children

This article details a set of participatory pedagogical experiments conducted within a research grant PN II IDEI (”Time Maps. Real communities, virtual worlds, experimented pasts”) performed with the purpose of helping rural communities in identifying their cultural heritage and transmitting it to the younger generations by means of modern IT technologies, including

New Computer Assisted Diagnostic to Detect Alzheimer Disease

We describe a new Computer Assisted Diagnosis (CAD) to automatically detect Alzheimer Patients (AD), Mild Cognitive Impairment (MCI) and elderly Controls, based on the segmentation and classification of the Hippocampus (H) and Corpus Calosum (CC) from Magnetic Resonance Images (MRI). For the segmentation we used a new method based on

The Ambivalence of Strengths and Weaknesses of E-Learning Educational Services

This paper represents a thorough phase in the effort to identify and assort the strengths and weaknesses of e-learning educational services. This paper reviews a synthesis of the assessments on the e-learning educational services through a survey of the specialized literature from 2000 to 2012 in order to identify the

Micro Expression Recognition Using the Eulerian Video Magnification Method

In this paper we propose a new approach for facial micro expressions recognition. For this purpose the Eulerian Video Magnification (EVM) method is used to retrieve the subtle motions of the face. The results of this method are obtained as in the magnified images sequence. In this study the numerical

A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomialsa Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials

Almost all of the major applications in the specific Fields of Communication used a well-known device called Linear Feedback Shift Register. Usually LFSR functions in a Galois Field GF(2n), meaning that all the operations are done with arithmetic modulo n degree Irreducible  and especially  Primitive Polynomials. Storing data in Galois

The Technological Advent and Dynamics of the Network Society. The “Middle-Aged Approach”

Nowadays, scholars have become interested in the ways new media influence young people, but its influence on middle-aged people have not been thoroughly examined. This age category is often ignored as most of the online activities are performed by young persons. New media gathers a wide range of phenomena which