The origin of Supermassive Black Holes that are observed to exist in the early Universe is one of the key questions in astronomy. There are different models that try to explain how these black holes formed and grew in a short period of time. One such model is the collision of protostars resulting in massive […]

This project will address the problem of time-window parameter adaptation in the process of sequence association rules mining. During the proposed internship in Canada, the main task will be to develop the method and algorithm for implementing time-window adaptive parameters. The advantage of the algorithm is that the identification of events does not rely on […]

This internship aims at advancing the use of inductively coupled plasma (ICP) tandem mass spectrometry (MS/MS) for the analysis of clinical samples (including whole blood) and of materials used by the semiconductor industry during their manufacturing process. The complexity of biological samples indeed limits the broad use of conventional inductively coupled plasma mass spectrometry (ICPMS) […]

La fabrication de pièces en acier de haute dureté et de hautes propriétés mécaniques pour différentes applications industrielles (pétrochimiques, moule d’injection de plastique, etc.) se fait par différents traitements thermiques. Ces pièces sont fabriquées par différents procédés et subissent une trempe. Les pièces peuvent être de différentes tailles et de formes diverses. Plus la taille […]

La fabrication de pièces en acier de haute dureté et de hautes propriétés mécaniques pour différentes applications industrielles (pétrochimiques, moule d’injection de plastique, etc.) se fait par différents traitements thermiques. Ces pièces sont fabriquées par différents procédés et subissent une trempe. Les pièces peuvent être de différentes tailles et de formes diverses. Plus la taille […]

For different software packages created using different tools to interoperate, an intermediate layer called API bindings is needed. These bindings can be created by hand, but that takes time and needs to be updated whenever one of the packages changes. Since these bindings are often quite repetitive, it is reasonable to try and generate them […]

The emerging edge computing (EC) paradigm promises to deliver superior user experience and enable a wide range of Internet of Things (IoT) applications by bringing storage and computing facilities closer to the end users. Virtualization technologies such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) will allow sellers and buyers to access the open […]

Recently damage of existing harbor structures is expected due to increase of external wave force by the climate change. For this reason, reinforcement of existing structures is proceeding in order to preemptively prevent disasters, and breakwater is mainly targeted. If the breakwater is not well designed, it will cause the severe damage of the structure. […]

Vision sensor is essential components in sensor applications of industry 4.0 such as autonomous vehicle, Internet of Things (IoT), Neural Network. The main goal of this research is to study, design, and develop a new concept of computational vision sensors called “transport-aware”. Unlike conventional vision sensors which record all incident light, transport-aware vision sensor can […]

Blockchain technology changed how e-payments work and opened the door for development of advanced and secure e-payment systems. Currently, cryptocurrency is the only well-known, successful application of blockchain technology. However, the application of blockchain technology is not limited to cryptocurrencies. Many distributed ledger technology experts discussed the benefits of applying blockchain in many sectors such […]

A key factor to deliver reliable intelligent vehicles is the proper exploitation of data gathered from the different sensors equipping the vehicle. To do so, a data fusion algorithm is applied. However, the reliability of the sensors can change (for example due to weather conditions), therefore, a solution to evaluate the quality of the data […]

The Quantum Autoencoder was proposed as a device which can compress quantum states efficiently. One possible application on near term quantum devices would be the compression of quantum data in order to protect it from decoherence effects. The compression however, also introduces noise to the quantum states so that it will not always be beneficial […]