dyke-davidoff-masson syndrome (ddms) is a syndrome associated with refractory epilepsy. ddms is a rare syndrome characterized by seizures, facial asymmetry, contralateral hemiplegia and mental retardation. the characteristic radiologic features are cerebral hemiatrophy with homolateral hypertrophy of the skull and sinuses. the case was an 18 years old female with seizures, hemiparesis of the ri...

As a rough model for the collective motions of cells and organisms we develop here the statistical mechanics of swarms of self-propelled particles. Our approach is closely related to the recently developed theory of active Brownian motion and the theory of canonicaldissipative systems. Free motion and motion of a swarms confined in an external field is studied. Briefly the case of particles con...

Mosquito swarms are poorly understood mating aggregations. In the malaria vector Anopheles gambiae Giles, they are known to depend on environmental conditions, such as the presence of a marker on the ground, and they may be highly relevant to reproductive isolation. We present quantitative measurements of individual An. gambiae positions within swarms from Donéguébougou, Mali, estimated by ster...

Swarm robotics is about constructing and controlling swarms of autonomous robots that cooperate to perform tasks that go beyond the capabilities of the single robots in the swarm. In this talk, I will give an overview of recent and ongoing research in swarm robotics in my research lab, IRIDIA, at the Universit Libre de Bruxelles. In particular, I will present results obtained with homogeneous a...

We study parameterised verification of robot swarms against temporal-epistemic specifications. We relax some of the significant restrictions assumed in the literature and present a counter abstraction approach that enable us to verify a potentially much smaller abstract model when checking a formula on a swarm of any size. We present an implementation and discuss experimental results obtained f...

This thesis deals with distributed cohesive control of swarms of dimensionless particles and applicability of this approach for using with swarms of micro aerial vehicles. I have implemented a set of algorithms presented in [11] that leads to the cohesive swarm behavior of ground robots in a plane and extended these algorithms to 3D space for control of unmanned aerial vehicles. The behavior of...

ions for Planning and Control of Robotic Swarms

This paper describes Antfarm, a content distribution system based on managed swarms. A managed swarm couples peer-to-peer data exchange with a coordinator that directs bandwidth allocation at each peer. Antfarm achieves high throughput by viewing content distribution as a global optimization problem, where the goal is to minimize download latencies for participants subject to bandwidth constrai...

A novel Cooperative Bee Swarm Optimization (CBSO) algorithm based on foraging behaviour of honey bees is presented. The CBSO employs cooperative behaviours of multiple swarms in optimizing numerical functions. The proposed approach provides different patterns which are used by the bees to adjust their flying trajectories. The flying patterns provide an efficient way to balance exploration and e...

Standard particle swarm optimization is easy to fall into local optimum and has the problem of low precision. To solve these problems, the paper proposes an effective approach, called particle swarm optimization based on multiple swarms and opposition-based learning, which divides swarm into two subswarms. The 1st sub-swarm employs PSO evolution model in order to hold the self-learning ability;...