Identification des meilleures pratiques dans l'élaboration des cahiers des charges et des critères de sélection en vue du choix d'un ERP dans les entreprises industrielles de Suisse romande

L’objectif de ce travail est d’aider les entreprises industrielles de Suisse romande dans leur démarche d’acquisition d’un ERP (Enterprise Resource Planning en anglais) / PGI (Progiciel de Gestion Intégré en français). Une enquête a été menée afin de déterminer les bonnes pratiques lors de l’élaboration d’un cahier des charges ainsi que du choix des critères de sélection qui mèneront à la sélection du progiciel de gestion intégré à implémenter dans l’entreprise. Ainsi, 23 entreprises industrielles ont contribué à l’enquête en répondant à un questionnaire en ligne. Ce questionnaire avait pour but de relever des données quantitatives et de trouver une tendance dans les différentes manières de procéder quant aux objectifs cités ci-dessus. En plus de ces sociétés, deux entreprises industrielles, deux éditeurs et deux intégrateurs oeuvrant notamment en Suisse romande ont participé à l’enquête en répondant à des interviews, permettant ainsi d’avoir le point de vue d’un maximum d’acteurs étant impliqués dans le processus de sélection d’un ERP/PGI. De nombreuses bonnes pratiques ont ainsi pu être référencées. Celles concernant l’élaboration du cahier des charges ont été réparties en trois catégories : processus, fonctionnalités et appel d’offres. Ainsi, des thèmes tels que la composition des équipes de projets, l’approche à adopter, les modules les plus utilisés par secteur de l’industrie ou encore les bonnes techniques pour réaliser un bon appel d’offres sont traités. Pour les critères de sélection, deux visions ont été mises en avant : celle des entreprises et celle des éditeurs et/ou intégrateurs. Pour les entreprises, il y est analysé l’importance de différents critères, et quels sont pour elles ceux qui sont déterminants pour le choix final. À l’opposé, la vision des éditeurs et/ou intégrateurs s’arrêtera sur l’importance des critères en fonction des différents postes dans une société. Afin que ce travail puisse être utile à différentes entreprises du secteur industriel de Suisse romande, une fiche de bonnes pratiques a été éditée en parallèle de ce travail, synthétisant les résultats de cette enquête. Elle permettra ainsi d’aider les entreprises désirant implémenter un ERP/PGI à aller sur la bonne voie en quelques pages seulement

Single-amplifier integrator-based low power CMOS filter for video frequency applications

“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”This paper describes a new low power fully differential second-order continuous-time low pass filter for use at video frequencies. The filter uses a single active device in combination with MOSFET resistors and grounded capacitors to achieve very low power consumption, small chip area and large dynamic range. The ideal integrator is realised using an internally compensated opamp consisting of only current mirrors and voltage buffers, whilst the lossy integrator is implemented by a single passive RC circuit. The filter has been simulated using a CMOS process. Results show that with a single 5 V power supply, cut-off frequency can be tuned from 3.5 MHz to 8 MHz, dynamic range is better than 67 dB, and power consumption is less than 1.7 mW

An incremental approach to MSE-based feature selection

Feature selection plays an important role in classification systems. Using classifier error rate as the evaluation function, feature selection is integrated with incremental training. A neural network classifier is implemented with an incremental training approach to detect and discard irrelevant features. By learning attributes one after another, our classifier can find directly the attributes that make no contribution to classification. These attributes are marked and considered for removal. Incorporated with a Minimum Squared Error (MSE) based feature ranking scheme, four batch removal methods based on classifier error rate have been developed to discard irrelevant features. These feature selection methods reduce the computational complexity involved in searching among a large number of possible solutions significantly. Experimental results show that our feature selection methods work well on several benchmark problems compared with other feature selection methods. The selected subsets are further validated by a Constructive Backpropagation (CBP) classifier, which confirms increased classification accuracy and reduced training cost

Revisiting Play School: A historical case study of the BBC’s address to the pre-school audience

Although clearly recognised in broader institutional histories of British children’s television as a significant moment in the BBC’s address toward the pre-school child, Play School (BBC 1964-88) has not been the focus of sustained archival analysis. This arguably reflects the fact that a good deal of work on children’s television in Britain adopts either an institutional or an audience focus, and the study of programmes cultures is often more neglected. This article seeks to revisit Play School using available historical documentation – including memos, scripts and press cuttings - from the BBC Written Archive Centre, as well as early surviving episodes (principally from 1964). In doing so, it seeks to explore how it fitted into BBC’s historical address to the pre-school child, how it intersected with discourses on pre-school education, and the range of institutional and social contexts surrounding its emergence. Key Words: Play School * Pre-school television * BBC * Child audienc

The Role of Peer Influence in Churn in Wireless Networks

Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to ensure their profitability and growth. In this paper, we look at the effect of peer influence on churn and we try to disentangle it from other effects that drive simultaneous churn across friends but that do not relate to peer influence. We analyze a random sample of roughly 10 thousand subscribers from large dataset from a major wireless carrier over a period of 10 months. We apply survival models and generalized propensity score to identify the role of peer influence. We show that the propensity to churn increases when friends do and that it increases more when many strong friends churn. Therefore, our results suggest that churn managers should consider strategies aimed at preventing group churn. We also show that survival models fail to disentangle homophily from peer influence over-estimating the effect of peer influence.Comment: Accepted in Seventh ASE International Conference on Social Computing (Socialcom 2014), Best Paper Award Winne

On indecomposable modules over the Virasoro algebra

It is proved that an indecomposable Harish-Chandra module over the Virasoro algebra must be (i) a uniformly bounded module, or (ii) a module in Category $\cal O$, or (iii) a module in Category ${\cal O}^-$, or (iv) a module which contains the trivial module as one of its composition factors.Comment: 5 pages, Latex, to appear in Science in China

Classification of finite dimensional modules of singly atypical type over the Lie superalgebras sl(m/n)

We classify the finite dimensional indecomposable sl(m/n)-modules with at least a typical or singly atypical primitive weight. We do this classification not only for weight modules, but also for generalized weight modules. We obtain that such a generalized weight module is simply a module obtained by ``linking'' sub-quotient modules of generalized Kac-modules. By applying our results to sl(m/1), we have in fact completely classified all finite dimensional sl(m/1)-modules.Comment: 17 pages, Late