Lessius Mechelen

About: Lessius Mechelen is a based out in . It is known for research contribution in the topics: Bearing (mechanical) & Object detection. The organization has 27 authors who have published 26 publications receiving 816 citations.

Vibrio anguillarum as a fish pathogen: virulence factors, diagnosis and prevention.

Abstract: Vibrio anguillarum, also known as Listonella anguillarum, is the causative agent of vibriosis, a deadly haemorrhagic septicaemic disease affecting various marine and fresh/brackish water fish, bivalves and crustaceans. In both aquaculture and larviculture, this disease is responsible for severe economic losses worldwide. Because of its high morbidity and mortality rates, substantial research has been carried out to elucidate the virulence mechanisms of this pathogen and to develop rapid detection techniques and effective disease-prevention strategies. This review summarizes the current state of knowledge pertaining to V. anguillarum, focusing on pathogenesis, known virulence factors, diagnosis, prevention and treatment.

An overview of today's high-level synthesis tools

Abstract: High-level synthesis (HLS) is an increasingly popular approach in electronic design automation (EDA) that raises the abstraction level for designing digital circuits. With the increasing complexity of embedded systems, these tools are particularly relevant in embedded systems design. In this paper, we present our evaluation of a broad selection of recent HLS tools in terms of capabilities, usability and quality of results. Even though HLS tools are still lacking some maturity, they are constantly improving and the industry is now starting to adopt them into their design flows.

Analysis of Fracture Toughness and Crack Propagation of Ti6Al4V Produced by Selective Laser Melting

Abstract: This paper describes and analyzes fracture toughness and crack propagation of selective laser molten (SLM) components made from Ti6Al4V powder particles The main goal of this research is to gain more insight in the fracture mechanisms of this relatively new material and to improve the static and dynamic behavior of cracked SLM-Ti components At first, the SLM process parameters are optimized until the relative material density equals 997% This is close to the relative density of vacuum arc remelted mill annealed standard oxygen titanium which is used as a reference for all experiments A distinctive difference in phase morphology and texture of the microstructure is noticed between the SLM and the reference titanium The fine acicular martensite phase of the SLM-Ti results in more brittle behavior and inferior fracture toughness On the other hand, the fine grained microstructure leads to a large number of grain boundaries acting as obstacle points for crack propagation Consequently, crack growth properties do not significantly differ between both Microstructural analysis of the crack growth and final failure areas on the fractured surfaces is performed to study the failure mechanisms in more detail

Towards a more effective method for analyzing mobile eye-tracking data: integrating gaze data with object recognition algorithms

Abstract: In this paper we present the outlines of a new project that aims at developing and implementing effective new methods for analyzing gaze data collected with mobile eye-tracking devices. More specifically, we argue for the integration of object recognition algorithms from vision engineering, such as invariant region matching techniques, in gaze analysis software. We present a series of arguments why an object-based approach may provide a significant surplus, in terms of analytical precision, flexibility, additional application areas and cost efficiency, to the existing systems that use predefined areas of analysis.In order to test the actual analytical power of object recognition algorithms for the analysis of gaze data recorded in the wild, we develop a series of test cases in different real world situations, including shopping behavior, navigation, handling and usability of mobile systems. By setting up these case studies in close collaboration with key players in the relevant fields (retailers, signage consultants, market and user-experience research, and developers of eye-tracking hard- and software), we will be able to sketch an accurate picture of the pros and cons of the proposed method in comparison to current analytical practice.