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Manufacturing industries are changing rapidly towards more flexibility and autonomy. The RoboCup Logistics League (RCLL) and RoboCup@Work tackle research questions in this domain focusing on automated reasoning and planning, and mobile manipulation respectively. However, future scenarios will require both aspects (and more) and will most likely operate with more heterogeneous systems. In this paper, we propose a cross-over challenge to foster closer cooperation among the two leagues to address these challenges. We outline four integration milestones and propose a specific scenario and task for the first milestone. The effort is driven by stakeholders of both leagues.
Inconel 718 is the most employed superalloy in the industry and it is often found in aerospace engines and power generation turbines. Superalloys are known as one of the most difficult group of materials to machine and therefore, tool material, tool geometry and cutting parameters should be carefully selected. Numerous researches have proven the enhanced productivity in turning of ceramic tools compared to carbide ones, while considerably less information is with regard to milling. Moreover, no knowledge has been developed about machining holes with this type of tools. More research on different machining techniques like circular ramping is critical to expand the productivity improvements that ceramics offer. This paper initially reviews prior work about ceramic tools. Then, a 3D simulation and a number of experiments with SiAlON round inserts have been carried out to evaluate the effect of the cutting speed and pitch on the tool wear and chip generation. The results show that three different types of chips are generated as well as that there are three potential wear zones. Top slice wear was identified as the most critic wear type followed by the notch wear. Flank wear and adhesion were also found in most of the tests. To conclude with, a 6.6 times more productive process than with carbide tools was achieved. Cet article étudie deux méthodes utilisées dans le cadre du transport humanitaire en cas de crise (désastre, épidémie...). Le Covering Tour Problem se focalise sur l'équité de distribution des vivres, alors que le Capacitated Vehicle Routing Problem se concentre sur l'urgence de la distribution. Nous proposons une nouvelle approche mélangeant ces deux approches pour former une solution à la fois équitable et rapide. Ce article a été rédigé dans le cadre du TER 2014-2015.
We all have a good reason to learn a new language; discovering our roots, passion for travel, academic purposes, pure interest etc. However most of us find it hard to become conversationally fluent in a new language while we use traditional resources for learning like textbooks and tutorials on the internet. In this paper we propose a novel approach to learn a new language. We aim to develop an intelligent browser extension, LanGauger, that will help users learn foreign languages. This application will allow users to look up words while they are browsing, by highlighting the text to be learned. The application will then provide a translation of the word, its pronunciation and its usage context in sentences. In addition, this intelligent tutor will also remember what words have been seen by the user, and quiz them on these words at appropriate times. While testing the recall of the user, this feature will also allow users to frequently think about the language and use it.
Cet article étudie deux méthodes utilisées dans le cadre du transport humanitaire en cas de crise (désastre, épidémie...). Le Covering Tour Problem se focalise sur l'équité de distribution des vivres, alors que le Capacitated Vehicle Routing Problem se concentre sur l'urgence de la distribution. Nous proposons une nouvelle approche mélangeant ces deux approches pour former une solution à la fois équitable et rapide. Ce article a été rédigé dans le cadre du TER 2014-2015.
Spinitron V2 Manual for Radio DJs
El análisis de sentimientos o minería opinión es el campo de estudio que analiza las opiniones, sentimientos, valoraciones, actitudes y emociones de la gente en lenguaje escrito. Es un área donde el procesamiento del lenguaje natural, la minería de datos, minería web y minería de texto se encuentran. Por ello, presentamos algunos conceptos necesarios para la comprensión de las características e implementación de estos métodos para la concepción de un sistema de un sistema de análisis de sentimientos.
Los métodos de Montecarlo abarcan una colección de técnicas que permiten obtener soluciones de problemas matemáticos o físicos por medio de pruebas aleatorias repetidas.
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