Auflistung nach Autor:in "Cheriet, Mohamed"
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- Konferenzbeitrag40 Gbps Access for Metro networks: Implications in terms of Sustainability and Innovation from an LCA Perspective(EnviroInfo & ICT4S, Conference Proceedings, 2015) Moghaddam, Reza Farrahi; Lemieux, Yves; Cheriet, MohamedIn this work, the implications of new technologies, more specifically the new optical FTTH technologies, are studied both from the functional and non-functional perspectives. In particular, some direct impacts are listed in the form of abandoning non-functional technologies, such as micro-registration, which would be implicitly required for having a functioning operation before arrival the new high-bandwidth access technologies. It is shown that such abandonment of non-functional best practices, which are mainly at the management level of ICT, immediately results in additional consumption and environmental footprint, and also there is a chance that some other new innovations might be missed. Therefore, unconstrained deployment of these access technologies is not aligned with a possible sustainable ICT picture, except if they are regulated. An approach to pricing the best practices, including both functional and non-functional technologies, is proposed in order to develop a regulation and policy framework for a sustainable broadband access
- KonferenzbeitragConsequences of future data centre deployment on North American electricity generation and environmental impacts: a 2015–2030 prospective study(EnviroInfo & ICT4S, Adjunct Proceedings, 2015) Dandres, Thomas; Vandromme , Nathan; Samson, Réjean; Lemieux, Yves; Obrekht, Glasha; Wong, Andy; Nguyen, Kim Khoa; Cheriet, Mohamed
- KonferenzbeitragDefining Green Profit in Distributed Datacenters(EnviroInfo & ICT4S, Adjunct Proceedings, 2015) Moghaddam, Fereydoun Farrahi; Moghaddam, Reza Farrahi; Cheriet, Mohamed; Lemieux, Yves
- KonferenzbeitragUsing the conformal embedding analysis to compensate the channel effect in the i-vector based speaker verification system(BIOSIG 2013, 2013) Boulkenafet, Zinelabidine; Bengherabi, Messaoud; Nouali, Omar; Cheriet, MohamedThe I-vector approach to speaker recognition has become the prevalent paradigm over the past 2 years, showing top performance in NIST evaluations. This success is due mainly to the capability of the I-vector to capture and compress the speaker characteristics at low dimension and the subsequent channel compensation techniques that minimize channel variability. The Linear Discriminative Analysis (LDA) followed by Within-Class Covariance Normalization (WCCN ) and Cosine Similarity Scoring (CSS) represents the best compromise between performance and computational complexity. In this paper, we propose to use Conformal Embedding Analysis (CEA ); a recently proposed manifold leaning technique; to tackle the main limitations of LDA which are: the Gaussian assumption on the classes distribution, the inability to preserve the local geometric relationships of the data-space and its reliance on the Euclidean distance for characterizing the relationships between feature vectors. Experimental results on the challenging MOBIO-voice database show that CEA+WCCN outperforms LDA+WCCN for both male and female speakers at all operating points.