SVMtraining is usually discussed under twodifferent algorithmic points of view. The first one is provided by decomposition methods such as SMO and SVMLight while the second one encompasses geometric methods that try to solve a Nearest Point Problem (NPP), the Gilbert– Schlesinger–Kozinec (GSK) andMitchell–Demyanov–Malozemov (MDM) algorithms being the most representative ones. In this work we wi...

We successfully fabricate three-mode erbium doped fiber with a confined Er(3+) doped ring structure and experimentally characterize the amplifier performance with a view to mode-division multiplexed (MDM) transmission. The differential modal gain was effectively mitigated by controlling the relative thickness of the ring-doped layer in the active fiber and pump launch conditions. A detailed stu...

Résumé. Dans cet article, nous proposons un formalisme permettant à des utilisateurs d’être impliqués dans les phases de conception de modèles de Gestion de Données de Référence (dite MDM), tout en faisant abstraction des spécificités techniques de la plateforme cible. Pour cela, des profils sont définis pour étendre la sémantique d’UML, trop générique, à celle du MDM par l’intermédiaire d’un p...

Nowadays, organizations deal with multiple data sources. Therefore, they must cope with data quality problems such as inconsistent and inaccurate data, as well as with data integration and synchronization. In this paper, we present an implementation of an MDM architecture using the open source tool Mural. Furthermore, we report preliminary experimental results that demonstrate the advantages of...

Mode-division multiplexing (MDM) is an emerging multiple-input multiple-output method, utilizing multimode waveguides to increase channel numbers. In the past, silicon-on-insulator (SOI) devices have been primarily focused on single-mode waveguides. We present the design and fabrication of a two-mode SOI ring resonator for MDM systems. By optimizing the device parameters, we have ensured that e...

In this study, we investigated the performance improvement of a localized surface plasmon resonance (LSPR) biosensor by incorporating a metal-dielectric-metal (MDM) stack structure and subwavelength metallic nanograting. The numerical results showed that the LSPR substrate with a MDM stack can provide not only a better sensitivity by more than five times but also a notably improved signal quali...

HIV-1 infection increases the risk and severity of malaria by poorly defined mechanisms. We investigated the effect of HIV-1(Ba-L) infection of monocyte-derived macrophages (MDM) on phagocytosis of opsonised P. falciparum infected erythrocytes (IE) and subsequent proinflammatory cytokine secretion. Compared to mock-infected MDM, HIV-1 infection significantly inhibited phagocytosis of IE (median...

Dendritic cells (DC) represent a class of professional antigen-presenting cells whose primary function is to alert the immune system, not to clear invading microorganisms. The objective of our study was to compare the abilities of polymorphonuclear neutrophilic leukocytes (PMN), monocytes, monocyte-derived macrophages (MDM), monocyte-derived immature DC (imDC), and mature DC (maDC) to ingest an...

Distant speech recognition is a highly challenging task due to background noise, reverberation, and speech overlap. Recently, there has been an increasing focus on attention mechanism. In this paper, we explore the attention mechanism embedded within the long short-term memory (LSTM) based acoustic model for large vocabulary distant speech recognition, trained using speech recorded from a singl...

In order to better utilize historical process data from faulty operations, supervised learning methods, such as Fisher discriminant analysis (FDA), have been adopted in process monitoring. However, such methods can only separate known faults from normal operations, and they have no means to deal with unknown faults. In addition, most of these methods are not designed for handling non-Gaussian d...