PI²4 2021-2022: Industrial Innovation Project for the 4th year of the engineering curriculum ESILV ► https://bit.ly/2NtRKuL Our project in partnership with the Laboratoire National de Métrologie et d’Essais (LNE) consists of the realization of an online platform for data diffusion. This platform will have 2 main uses: – The first will be to upload a […]
PI²4 2021-2022 : Industrial Innovation Project for the 4th year of the engineering curriculum ESILV ► https://bit.ly/2NtRKuL The project aims to realize a python program. This program is based on a multi-agent structure. It aims to optimize the profitability of hydroelectric structures via a simplex. The program has multiple input data which are: the different […]
PI²4 2021-2022: Industrial Innovation Project for the 4th year of the engineering curriculum ESILV ► https://bit.ly/2NtRKuL Each year, the inventory team must conduct the closing inventory at the end of December. To do this, they must complete the various steps of the process in less than two weeks. Most of them are done manually and […]
PI²4 2020-2021 :4 -th year project 2020-2021 ► https://bit.ly/2NtRKuL Smart farming is about making the farm and its workers as efficient as possible. A typical farm is quite large, and there is a lot of space to cover to make sure that everything is running smoothly, both in terms of maintenance and weather conditions. Each […]
PI²4 2020-2021 : 4-th year project 2020-2021 ► https://bit.ly/2NtRKuL As part of our 4th year PI² at ESILV, we were asked to work on an “ESG-compliant Investments evaluation” yearly project. ESG criteria (Environment, Social, and Governance) have been established as the pillars of responsible and sustainable investment in the financial sector. Purely financial aspects are […]
PI²4 2020-2021 : 4-th year project 2020-2021 ► https://bit.ly/2NtRKuL Our project is a simple and playful mobile app whose objective is to allow urban residents to make their city greener and more pleasant to live in. The application enables visualizing the locations on which everyone can act! Citizens can see their donations transformed into a […]
Our project consists in measuring the vestibulo-ocular reflex. When our head is in motion, the vestibulo-ocular reflex allows us to stabilize our vision. Several pathologies can cause troublesome disorders: dizziness, and loss of coordination of the ocular muscles. Specific head movements, which influence our gaze, allow us to diagnose pathologies of the vestibulo-ocular reflex. In […]
The topic deals with US index replication via a trading strategy based on cointegration, trying to improve it if possible so that it is a successful long-short strategy. We refer to the article “The Cointegration Alpha: Enhanced Index Tracking and Long-Short Equity Market Neutral Strategy” by Carol Alexander and Anca Dimitriu published in 2002. This […]
Industrial Innovation Project for the 4th year of the ESILV engineering curriculum ► https://bit.ly/2NtRKuL Our project is part of a desire to revamp the user experience of the historical site of one of the most iconic distilleries in Martinique, “Rhum Clément”. Our goal was to make it more innovative, while remaining adapted to the singular […]
Industrial Innovation Project for the 4th year of the ESILV engineering curriculum► https://bit.ly/2NtRKuL This year, for our Pi², we were challenged to create a web application to facilitate the connection between fashion houses, John Paul Concierges and VIP Clients. Applications II.1 Concierge Our application starts with a login page to redirect users into […]
4th year project, engineering school, class of 2017 Olivier Pigeon – Raphaël Pelat – Yassine Abdelkader Their project The main objective of the project was to quantify the impact of Contingent Convertible Bonds (Coco bonds) on systemic risk. In a baseline scenario where a shock to the market is simulated using the cirrent debt structure […]
4th year project, engineering school, class of 2017 Corentin Leprael – Damien Bonnel – Luc Rouas – Christian Mosimi Their project Based on different financial index backset, we used the two methods of mean reversion and trend following to predict if the index is more mean reverting or trend following. We collected the closed and […]