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An in vitro microfluidic approach to generating protein-interaction networks

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Computational Aspects of Distributed Optimization in Model Predictive Control

Colin Neil Jones, Tyler Summers, Melanie Nicole Zeilinger

This paper presents a systematic computational study on the performance of distributed optimization in model predictive control (MPC). We consider networks of dynamically coupled systems, which are subject to input and state con- straints. The resulting MP ...

2012

Effective information flow over mobile adaptive networks

Ali H. Sayed

Collective motion is a remarkable phenomenon in biological systems. There have been several models in the literature to regenerate this type of motion, such as averaging consensus strategies where nodes continuously average the velocity vectors of their ne ...

IEEE2012

Network Resource Allocation for Competing Multiple Description Transmissions

Suhas Diggavi

Providing real-time multimedia services over a best-effort network is challenging due to the stringent delay requirements in the presence of complex network dynamics. Multiple description (MD) coding is one approach to transmit the media over diverse (mult ...

2008

Analysis of expression of PDCP and MAL13P1.308 of Plasmodium falciparum employing a quantitative proteomics approach based on SILAC

Céline Freymond

Plasmodium falciparum is a deadly parasite that causes malaria in humans. This disease causes the death of one million people every year. To find new means to fight this parasite, it is important to learn more about its biology. As the pathways of protein ...

2008

Simplifying complex networks

David Gfeller

The framework of complex networks has been shown to describe adequately a wide class of complex systems made up of a large number of interacting units. In this framework, a node is associated to each unit and two nodes are connected by an edge if the two u ...

EPFL2007

Spectral coarse graining of complex networks

Paolo De Los Rios, David Gfeller

Reducing the complexity of large systems described as complex networks is key to understanding them and a crucial issue is to know which properties of the initial system are preserved in the reduced one. Here we use random walks to design a coarse graining ...

American Physical Society2007

Network Monitoring: it depends on your points of view

Christina Fragouli, Suhas Diggavi

End-to-end active network monitoring infers network characteristics by sending and collecting probe packets from the network edge, while probes traverse the network through multicast trees or a mesh of unicast paths. Most reported methods consider given so ...

2007

Signal transduction networks: topology, response and biochemical processes

Marcel Salathé

Conventionally, biological signal transduction networks are analysed using experimental and theoretical methods to describe specific protein components, interactions, and biochemical processes and to model network behavior under various conditions. While t ...

Elsevier2006

Node Cooperation in Hybrid Ad hoc Networks

Jean-Pierre Hubaux, Naouel Ben Salem, Levente Buttyan

A hybrid ad hoc network is a structure-based network that is extended using multi-hop communications. Indeed, in this kind of network, the existence of a communication link between the mobile station and the base station is not required: A mobile station t ...

2006

A statistical physics perspective of complex networks

Thomas Petermann

A statistical physics perspective of complex networks: from the architecture of the Internet and the brain to the spreading of an epidemic Statistical physics has revealed itself as the ideal framework to describe large networks appearing in a variety of d ...

EPFL2005