Communication between the bariatric surgeon and the obese patient is very important as it influences the expectations of patients with regard to surgery, aim of the surgery and the understanding of the mechanisms of failure of surgery. Furthermore, the incidence of certain psychopathology in these patients makes it necessary for the surgeon to have the ability to communicate to the patient the ...

Physical agents, such as robots, are generally constrained in their communication capabilities. In a multi-agent system composed of physical agents, these constraints have a strong influence on the organization and the coordination mechanisms. Our multi-agent system is a satellite constellation for which we propose a collaboration method based on incremental coalition formation in order to opti...

The paper presents a modified least squares despread respread multitarget constant modulus algorithm (LS-DRMTCMA). The cost function of the original algorithm was modified by the minimum bit error rate (MBER) criterion. The novel algorithm tries to optimize weight vectors by directly minimizing bit error rate (BER) of code division multiple access (CDMA) mobile communication system. In order to...

This paper is concerned with distributed H∞ filtering for a class of continuous-time linear plants over sensor networks with multiple communication channels (MCCs). A practical framework is presented to optimize communication over MCCs with uncertain delays and switching characteristics. The channel switching is assumed to follow a continuous-time Markov chain and a Markov jump linear system (M...

In this paper, we develop portable and scalable algorithms for performing irregular all-to-all communication in High Performance Computing (HPC) systems. To minimize the communication latency, the algorithm reduces the total number of messages transmitted, reduces the variance of the lengths of these messages, and overlaps the communication with computation. The performance of the algorithm is ...

The growing demand of processing power is being satisfied mainly by an increase in the number of computing cores in a system. One of the main challenges to be addressed is efficient utilization of these architectures. This demands data-communication aware mapping of applications on these architectures. Appropriate tools are required to provide the detailed intra-application data-communication i...

The areas of machine learning and communication technology are converging. Today’s communications systems generate a huge amount of traffic data, which can help to significantly enhance the design and management of networks and communication components when combined with advanced machine learning methods. Furthermore, recently developed end-to-end training procedures offer new ways to jointly o...

Reduction of communication and efficient partitioning are key issues for achieving scalability in hierarchical N -Body algorithms like FMM. In the present work, we propose four independent strategies to improve partitioning and reduce communication. First of all, we show that the conventional wisdom of using space-filling curve partitioning may not work well for boundary integral problems, whic...

− Currently, containers are used in the transport of products because of the point-to-point service they offer. By using specialized cranes, operations in maritime transport and land transport can be achieved quickly. To optimize the operation costs, the whole management of the terminal is computerized proportionally with the complexity of the problem. The multi-agent systems paradigm seems sui...

With explosion of data size and limited storage space at a single location, data are often distributed at different locations. We thus face the challenge of performing largescale machine learning from these distributed data through communication networks. In this paper, we study how the network communication constraints will impact the convergence speed of distributed machine learning optimizat...