Reflective career dialogues

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Sequential algorithms for data analysis with kernel-based methods

In recent years, many methods of analysis and classification of data based on reproducing kernel Hilbert spaces have been developed. Most of these methods incorporate the fundamental principle dictated by Vapnik et al. in Support Vector Machines, which consists in extending linear algorithms to the non-linear case by using kernels. Kernel Fisher Discriminant (KFD) is one of these nonlinear methods which provides interesting results in many practical cases. However, the use of KFD requires storage and processing of matrices whose size equals the number of available data. This may be critical when the training set is large. This paper presents a sequential KFD algorithm which does not require the manipulation of large matrices. Sequential algorithms that fulfil the same requirements as KFD are also presented to perform Kernel Principal Component Analysis (KPCA) and Kernel Generalized Discriminant Analysis (KGDA).Au cours de la dernière décennie, de multiples méthodes pour l'analyse et la classification de données fondées sur la théorie des espaces de Hilbert à noyau reproduisant ont été développées. Elles reposent sur le principe fondamental du kernel trick, initialement exploité par Vapnik et col. dans le cadre des Support Vector Machines. Celui-ci permet d'étendre au cas non-linéaire des traitements initialement linéaires en utilisant la notion de noyau. La méthode KFD, pour Kernel Fisher Discriminant, constitue ainsi une généralisation non-linéaire de l'analyse discriminante de Fisher. Bien que son efficacité soit indiscutable, on déplore le fait que sa mise en oeuvre nécessite le stockage et la manipulation de matrices de dimension égale au nombre de données traitées, point critique lorsque l'ensemble d'apprentissage est de grande taille. Cet article présente un algorithme séquentiel palliant cette difficulté puisqu'il ne nécessite, ni la manipulation, ni même le stockage de telles matrices. Un parallèle est également proposé entre KFD et KPCA, acronyme de Kernel Principal Component Analysis, cette dernière méthode constituant une extension au cas non-linéaire de l'analyse en composantes principales. Cet article s'achève par la présentation d'un algorithme séquentiel à noyau pour la méthode GDA, Generalized Discriminant Analysis, qui étend l'analyse discriminante de Fisher au cas multi-classe

Investigation of Metallized and Nonmetallized Hydroxyl Terminated Polybutadiene/Hydrogen Peroxide Hybrid Rockets

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77070/1/AIAA-22091-612.pd

The effects of creative, expressive, and reflective writing on career learning:An explorative study

This study investigates whether creative, expressive, and reflective writing contributes to the formation of a work-life narrative that offers both meaning and direction among students in higher education. The content of writing done by students who participated in a two-day writing course at the start (or in preparation) of their work placements and of a control group who did not take part in the course were compared. Writing samples were analysed using the Linguistic Index Word Count program (Pennebaker, Booth, & Francis, 2007) and an instrument based on Dialogical Self Theory (Hermans & Hermans-Konopka, 2010). Results show writing promotes the development of career narratives. Keywords: Creative writing, Expressive writing, Narrative career counselling, LIWC, Dialogical self theory, Higher educatio

Curvilinear deflagration of energetic materials

The effects of material interface curvature on deflagration of a homogeneous solid energetic material (EM) is studied in a limit when the radius of curvature is much larger than the deflagration front thick- ness. Under the assumption of quasi-steady burning, a method of matched asymptotics is employed do derive first-order curvature corrections to the mass flux across the gas???solid interface as well as to the interface temperature. As an illustration, a problem of quasi-steady spherical particle deflagration is solved numerically and the simulation results are used to verify those obtained through asymptotic analysis. An algorithm for a fully-coupled unsteady solver suitable for EM deflagration simulation is presented. Numerical solution of the unsteady spherical particle deflagration is used to show that the assumption of quasi-steady deflagration is valid.published or submitted for publicationis peer reviewe

The foundations of career resilience

Contains fulltext : 190343.pdf (publisher's version ) (Closed access

Career writing:Creative, expressive and reflective approaches to narrative identity formation in students in higher education

This study investigates whether creative, expressive, and reflective writing contributes to the formation of a narrative career identity that offers students in higher education a sense of meaning and direction. The contents of writing done by students who participated in 2 two-day writing courses before and after work placements and of a control group were compared. Employers were also asked to evaluate students' performance. Writing samples were analyzed using the Linguistic Index Word Count program and an instrument based on Dialogical Self Theory. Work-placement self-reports were gathered, examined, and used as anecdotal evidence presented in the form of case studies. The results show that career writing can promote the development of career identity and holds promise as a narrative career guidance approach