Explore our projects & studies
Explore our projects & studies
From Artificial Intelligence to Human-Computer Interaction and Software Architecture, our research team tackles complex problems across many domains. We seek at providing the best of modern technology for public services, health-care and industry.
Software Traces for Detecting Frauds in BL.Enfance
Fraudulent behaviors can be detected based on the applicative traces. In this work, we used application traces from BL.Enfance, one of our software dedicated to children’s activities billing and management. We specifically focused on detecting the modification of variables such as the family quotient (Q-CAF) and period of billing, which
Public Services’ Principles and Contractual Practice between Software Editors and Public Authorities
To make it simple, in the common sense, the “public service” is the practical way for public authorities (national and local) to implement their public policies. For instance: A university is one of the practical instruments used to implement the education and training policy; A metro company is one of
Hey Artificial Intelligence! If you want to Scan Me, please do it in 3D!
What if we could automatically count and detect objects and various pieces of equipment in a building? This would have a tremendous impact on inventory activities, daily inspections, making these tasks easier and faster. This is what we are trying to achieve here. The main idea consists in relying on
The Election Watch Project: Dear candidate, what do you propose in terms of participative democracy?
Traditionally candidates for municipal elections prepare a program including various objectives they undertake to achieve if they are elected. The last French Municipale Election made no difference despite the quite particular context of execution of the 1st round due to the sanitary crisis. Hence, we used this period to gather
AI & Data analysis for predictive maintenance of sewerage pumping system
The International Asset Performance 4.0 Conference will be held from 15 to 17 September 2020 in Belgium. On this occasion, several companies have come together to organize a Hackathon. Among them is Aquafin, a Flemish specialist in wastewater treatment. Their objective is to improve the daily maintenance management of their pumping stations, using data combined with artificial intelligence. The company thus proposes to the participants to find the best possible algorithm to predict the risks of
Data visualisation to ease planning in Infosilem Academics
The InfoSilem Academics software (previously TimeTabler) automates and simplifies the creation of academic schedules for faculties. The scheduling is centered on the notion of “deliveries”. A delivery is a combination of professors, academic blocks, and corresponding room requests, repeated at a given frequency. The software provides optimized time slots and room affectations depending on room
Multiscale Visualisation: From Territory to BIM View
The technical management of the territory is today a challenge that requires being able to manage objects such as the city or the building and space which contains them at different scales. The following video demonstrates our research prototype integrated into CARL Source for multi-scale management of equipment. You will
The MOTUS Project: Automatic Grouping by Theme of Support Tickets
Dear Project Managers, imagine if you could regroup automatically the thousands of maintenance tickets by topic in just one click. It would be nice no? This would have tremendous implications in priorising the bug fixing, improvement requests, new features, etc. Thus, saving significant amount of time and making better decisions.
Optimizing Maintenance Planning for CARL Software
The management of the maintenance interventions planning is complicated. A large set of constraints must be considered when managing the plan such as the adequacy between skills and intervention acts, the respect of contracts and the availability of technicians, etc. As a result, the production of a plan becomes a
AI and Edge Computing at the service of IoT : Realization of an Augmented Sensor
Within the framework of a research & innovation working partnership on AI (Artificial Intelligence) and Edge Computing, the Adeunis and CARL/Berger-Levrault R&D teams have been working together for several months. CARL/Berger-Levrault is a European leader in equipment management (CMMS/EAM) and technical asset management, while Adeunis is a specialist in radio
