It is now recognized that the learner is no longer passive, he becomes the main actor of his training. There are, in fact, the part of the learner, an appropriation work that is taking place and the trainer, a specific work to promote learning. In order to offer to our students a better education, we began to discover some techno approaches crossing innovative teaching and set up two educational modalities that we experienced in Institute of Higher Technological Studies IHTS of Gabes for the students having speciality of telecommunications and networking by the introduction of flipped classroom and serious games. This was followed by a comparison of different pedagogical approaches tested to detect their contributions and limitations.
The main objective of a training program for future trainers Guineans, specialized and competent in Civil Engineering in training centers in their countries, is to use a new method of teaching by guided discovery in the framework of the course of Civil Engineering structures. In this context, a learning study was considered and put in application for the Higher Institute of Technological studies of Rades since November 2015 for a number of hours equal to 90. This innovative project brings together several aspects in Civil Engineering which are addressed through an analysis of a real case. The adopted approach is to apprehend a visit upstream of the teacher of the course in order to master the components of the job site to visit. Consequently, a guided tour of the students is programmed and provided by their teacher. The obtained results are satisfactory on the side of the learners in the field of learning, pedagogical innovation, motivation and profitability. However, these results remain still perfectible.
This paper proposes the recognition of bank notes through a mobile intelligent vision system under Android and this, based on an approach of artificial vision of images using the SIFT algorithm under OPENCV whose principle is to detect the remarkable points of this image and compare it with the image saved in the local database on a handheld device. Finally, the system informs the user of the result by a sound indicating the value of the currency detected. The SIFT algorithm proposed can achieve a higher percentage of identification in a reduced time compared to results achieved by classic SIFT.
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