At the current year’s edition of the National Science and Engineering Competition “Mold SEF”, among the 74 projects presented, two were highlighted for their ideas and scientific-practical importance, as well as for the activity of the competitors over time – at Mold SEF, and at the Intel International Science and Engineering Fair “Intel ISEF”.

The two projects are called “Stand Up 4 Human Rights” (authors: Alexandra ȚARANU and Eduard SCOBIOALĂ, students in the 11th and 12th grades, “Emil Nicula” Theoretical High School, Mereni, Anenii Noi) and “Traffic Flow Analysis Based on Neural Networks” (author: Igor MOSCALEȚ, student in 12th grade, Theoretical High School “Beniamin Zeev Hertli”, Chișinău), both in the category “Information Technology”, coordinated by Diana MARUSIC, student at the Faculty of Computers, Informatics and Microelectronics, UTM, gr. FAF-171, third year – one of the most consistent and prolific presence in the history of this competition.

Under the aegis of their coordinator, the authors of Stand Up 4 Human Rights have created, with the help of HTML, CSS, JavaScript, a platform for informing young people in the field of human rights – users can register here for various competitions, trainings, exchanges of experience with peers from other states, to liaise with youth organizations from all over the world, to study international documents stipulating various opportunities to highlight human rights. Each of the 6 sections of the page addresses a specific topic. In order to facilitate the reading of official documents, a mechanism for accessing their abstracts was created. The Canva application has produced images that visually present the majority of the rights in the Universal Declaration of Human Rights, each image being accompanied by a brief and accessible description. In Python, a program has been created that automatically generates summaries of international pacts. It is the only platform that offers a wide range of information on human rights.

The second project coordinated by student Diana MARUSIC – “Traffic Flow Analysis Based on Neural Networks”, provides a comprehensive analysis of the flow of traffic based on neural networks. Annually, the urban commute is blocked in traffic for 34 hours. According to Tomtom statistics, in 2018, the most congested cities were Mumbai, Bogota, Lima, New Delhi. Governments spend huge amounts to streamline traffic – in 2018, the US has invested nearly 87 billion dollars! A modern technological solution is required for this problem. The author of the project, Igor MOSCALEȚ, has planned to design a system that can analyze the patterns of traffic, using neural networks. And as a tool for carrying out these analyzes, he proposed the use of Machine Learning, which can process a lot of information about traffic flow in a very efficient way. A neural network that can predict the volume of traffic on different road areas was built and tested on a data set of 2160 examples. Intelligent analysis of this information can yield valuable results.

The effort of the authors of the two projects was highly appreciated by the competition jury. The second and third places are a track for new achievements, and with the experience already accumulated, but also with the beautiful example of perseverance of their coordinator, they face a pretty promising future.

Diana MARUSIC participated in three editions of the contest “Mold SEF” – while she was a student in the 10th, 11th and 12th grade at the “Ion Creangă” Theoretical High School in Chișinău. She was selected for the international stage “Intel ISEF” in the USA three times. After graduating from high school, she was coordinator of two projects – in 2017 and 2018, which were also selected for the international stage. She also successfully participated in the competition this year, as coordinator of two very daring and high-profile projects, proof that the chosen path is perfectly compatible with her active and persevering nature.

(Visited 3 times, 1 visits today)