Advanced Anode Materials for Next-Generation All-Solid-State Lithium Batteries

Advanced batteries are critical for achieving high-performance electric vehicles (EVs) and supporting goals to reduce greenhouse gas emissions. The prevailing rechargeable Lithium-ion batteries (LIBs) using liquid electrolytes, are the major choice for current EVs. However, these LIBs still suffer from safety, lifespan, and energy density issues. Solid-state lithium batteries (SSLBs) have recently emerged as alternative […]

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Intelligent Vision Based Navigation Systems

Utilizing geomatics sensors such as laser scanners, GNSS, Inertial Navigation Systems (INS), and photogrammetry cameras to provide mobile mapping solutions has been studied and utilized extensively in the past three decades. The data fusion between high-end mobile mapping systems such as laser scanning and imagery-based systems, and low-cost camera systems are still a fertile field […]

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Processus d’amélioration continue dans les mines

Durant les années où les prix des métaux ont permis une hausse des revenus pour les minières, ces dernières ont constaté que cette hausse ne s’est pas traduite par des profits substantiels pour les investisseurs. Ce constat a amené les minières à réfléchir à leur mode opérationnel et à développer un processus d’amélioration continue inspiré […]

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Integrated Project Delivery – Unlocking the Advantages of Innovative Technologies

The American Institute of Architects (AIA) defines IPD as: “…a collaborative alliance of people, systems, business structures and practices into a process that harnesses the talents and insights of all participants to optimize project results, increase value to the owner, reduce waste, and maximize efficiency through all phases of design, fabrication, and construction.” Integrated Project […]

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Comprehensive study of VCSEL-MMF coupling techniques

Vertical cavity surface emitting lasers (VCSELs) are in high demand in short-reach optical interconnects. Reflex Photonics is a leading company in developing VCSEL-based optical transceivers for the harsh environments. So far, the speeds up to 12.5 Gb/s for a reach of 100 m have been achieved. One of the key bottleneck in developing rugged transceivers […]

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RLCapture: A deep reinforcement learning based control strategy forswitching between motion capture inspired controllers.

Making robots walk and balance as well as humans is extremely difficult. New techniques involving machine learning have shown promise in getting robots to mimic the movements of humans recorded using motion capture technology widely used for videogames and movies. While these techniques show promise, they are still in development, and have difficulty switching between […]

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Secrecy enhancement of linear and non-linear multihop relaying networks

The deployment of WSN in various field actually boost the quality of our daily life. Unfortunately, with the increasingly exponential growth of devices and vulnerability of wireless transmission being exposed to the air, secure transmission of WSN has drawn plenty of attention both in the community of communication and signal processing. For the sake of […]

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Numerical modeling and evaluation of mixing behavior and grinding efficiency in FLSmidth VXP vertical stirred mill

Stirred mill grinding is a complex and energy-intensive process that involves multiple phases. Multi-scale phenomena that drive hydrodynamic and particle breakage processes in the stirred mill are still not fully understood, due to a number of operating and design parameters that affect mill performance, including disk and barrel geometry, agitation rate, grinding media size and […]

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Methane CPOX: catalyst improvement for a micro refinery unit

Participating to the Mitacs Globalink program will give me the chance to carry on research at TUM, joing the research group at the Lehrstuhl fur Technische Chemie II. I will work under the supervision of Prof. Johannes Lercher and I will learn how to combine advanced physicochemical methods to characterize the methane reaction on surfaces […]

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Méthodologie d’identification des facteurs et schémas responsables de la baisse de productivité

À l’ère de ‘l’industrie 4.0’ qui prône le numérique et la connectivité, la gestion et l’exploitation des connaissances fournissent un avantage significatif dans un contexte manufacturier toujours plus concurrentiel. Cela permet le transfert de connaissances, la formation, la résolution de problèmes complexes ainsi que la prédiction de phénomènes. Les données de production peuvent provenir de […]

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Anomaly Detection in Land Vehicle Traffic Activity

This project’s objective is to develop a capability to detect and describe anomalous situations in ground vehicle traffic. Anomalous situations are described as substantial/important changes from the traffic frequently observed for a particular route and/or time. In this sense, anomaly can be quantitatively measured by the degree of predictability of current traffic given historical observations. […]

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