The cellular network nowadays faces an uphill battle against the explosive growth of mobile data traffic. Deploying low power radio base stations covering small cells within the current cellular coverage area is a promising approach to significantly boost the network capacity, provide better coverage, and reduce network congestion.
One of the major bottlenecks in portable devices is the limited energy provided by batteries. Some devices can afford larger battery packages and thus extend their battery longevity. However, for small portable units such as Recon Instrument's sport goggles, using larger batteries is not feasible. This research is mainly focused on remote charging for separation distances of up to 50 cm. It will lead to design and implement a dual-mode (hybrid) wireless power transfer system that is capable of both providing a "top-up" power as well as recharging the battery of the portable units.
The proposed internship aims to study how the characteristics and reliability of Permanent Magnet Electric Motors (PMs) affect their life-cycle cost (LCC), including initial, maintenance, and energy costs. First, the effect of the variation of design variables on the performance and initial cost of PMs will be assessed and the cost will be correlated to performance. Second, the effect of materials and processes on the reliability and the LCC of PMs will be studied and LCC will be correlated to reliability. The results will be presented to TM4 in form of a detailed database.
Energy saving is one of the important issues in today world. In order to improve the performance of the industrial motor drives for high-power applications, higher voltage power converters are recommended. Compared with low-power converters, high-power systems have their distinct characteristics and challenges, and usually require converter configurations capable of processing energy conversion at higher power and voltage levels. The technical requirements and challenges for MV systems differ in many aspects from those of the low-voltage AC converters, which have been mostly resolved.
Fiber Bragg gratings (FBGs) have attracted considerable interest in the past three decades as a key technology in different applications. The intention of this project is to develop a FBG writing technique based on a scanning tunable Phase-Mask Interferometer using different UV lasers. The project includes optimizing the tunability of the interferometer, and analyzing the specific problem situations encountered in the process in order to develop the interrogation methods of the proposed technique.
Emerging applications such as interactive video conferencing, Voice over IP (VoIP) and cloud computing are required to achieve an end-to-end latency of less than 200 milliseconds. In many wireless networks, the round-trip time can alone reach this limit. Hence it is necessary to develop new delay-optimized networking protocols and delay-sensitive coding techniques in order to meet such stringent delay constraints. The proposed project will investigate both theoretical foundations and practical implementations to reduce delays in interactive communication scenarios.
Le projet porte sur le développement des algorithmes permettant de transporter d’une façon stable, par deux robots humanoïdes Nao, une table miniature dans un environnement encombré. Plusieurs étapes sont nécessaires pour arriver à ce résultat. En premier lieu, il est essentiel de compenser les perturbations causées par les oscillations latérales dues à la marche bipède. Puis, une planification de trajectoire de marche doit être effectuée afin de faire naviguer les robots dans l'environnement encombré.
The main objective of the proposed research project is to develop a new transient stability simulation method based on advanced computational and modeling techniques that is both fast and accurate. Transient stability studies are an important part of system planning and operation as they ensure that a system will maintain stable operation following severe disturbances. However, traditional simulation techniques were not designed for the size and complexity of modern power systems.
Many big data challenges are characterized not only by a very large volume of data that has to be processed but also by a high data production rate. In this project, new storage approaches for big data will be explored. Key point is the efficient use of modern hardware, especially modern storage technology such as SSDs. These new technologies have highly improved performance in comparison to traditional hardware. However, classical data structures and algorithms can not directly be applied due to the different characteristics of these devices.
