ERGO4ALL: Conception d’un processus d’intervention en ergonomie virtuelle

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et […]

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3D visualizations for neuroscience education, research, and clinical applications

As new technologies are rapidly being integrated in postsecondary institutions, the question is often where to focus investment and how to facilitate adoption of new technologies by faculty and students. The advent of an era that will increasingly rely on the use of augmented and virtual reality in the instructional arena necessitates the creation of […]

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Ahead of Time Compiled Code Generation

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

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Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

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Intégration de contraintes industrielles dans la recommandation de produits

Les systèmes de recommandation sont des outils qui permettent aux utilisateurs d’un système de trouver des items qui pourraient leur être d’intérêt. Ces outils permettent d’améliorer les performances marketing à travers l’amélioration de l’expérience client, et cela en limitant le temps de recherche liés à la surcharge d’information à travers une meilleure personnalisation. Les systèmes […]

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Stage en robotique à l’université national de Colombie à Medellin

Le projet consiste à développer un robot fermier pour un système aéroponique. Le système devra être complètement autonome. Ainsi, il possédera différents capteurs qui devront être intégrés: caméra, capteur d’acidité, capteur de conductivité électrique dans l’eau, capteur d’humidité, etc. Grâce à ces informations, le robot devra se déplacer et effectuer différentes tâches: semence, transplantation, récolte, […]

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Remote and local effect of vertical warming structure in the polar region

Recently, the near-surface temperature in the Arctic region has been increasing at a faster rate than the global average. Also, many studies show the distinct vertical profile of Arctic warming is determined by various driving mechanisms. Here, we will show how polar warming of different vertical structure affects the climate responses locally as well as […]

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Acceptance Testing Framework for Robotic Software Solutions

Modern robots depend on numerous hardware devices and human interaction in order to perform their task. These dependencies, in addition to the distributed nature of these systems, make automated full-system testing difficult. Current testing practices are insufficient as they only test a single component of the system or require costly manual labor. Many companies have […]

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Utilizing Virtual Reality as a Tool for Research on Environmental Behavior Study

My main field of interest is environmental behavior, which deals with interrelations between physical environments and human behaviors regarding urban- and architectural safety planning. I am currently planning to conduct an experimental research on public safety issues (fire/escape, terror/crimes) in urban- and architectural environments utilizing Virtual Reality technologies, and although I have recently acquired fundamental […]

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Reversible assembly state of plasmonic nanoparticles driven by controlling liquid crystalline defect under multi-stimuli system

The main research theme of the project is to achieve reconfigurable assembly state of plasmonic NPs by controlling its trapping agent, LCs, under multi-stimuli system. There are two kinds of multi-stimuli LC control platform; one is static system in which anchoring, rubbing, and confinement can be modified, while the other is dynamic system which is […]

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Mobile Beacon-based Localization with Motion Compensation for Underwater Acoustic Sensor Networks

The aim of this project is to propose an improved mobile-based localization scheme by considering a practical factor (i.e., ship-motion) in Underwater Acoustic Sensor Networks (UASNs). In the last decade, localization techniques associated with UASNs have been widely studied as a method to provide fundamental support for many location-based applications. In particular, mobile beacon-based localization […]

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Deep learning-based steel corrosion and fatigue crack detection using a depth camera

In order to overcome the drawbacks of the traditional approaches to steel structure damage detection and to improve reliability and safety of existing steel structures, this research proposes to develop an innovative autonomous SHM system that offers transformative enhancements over existing steel structure monitoring systems. This will involve: 1. Collecting Collecting image data from various […]

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