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Parkinson's disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Determining changes of spontaneous activity and connectivity of the brain is a critical step towards treatment of PD patients. Resting State functional Magnetic Resonance Imaging (RS-fMRI) is a non-invasive method that we use in this work to investigate changes of default mode...
Parkinson's disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Determining changes of spontaneous activity and connectivity of the brain is a critical step towards treatment of PD patients. Resting State functional Magnetic Resonance Imaging (RS-fMRI) is a non-invasive method that we use in this work to investigate intra- and inter-regional...
In this paper we present a novel congestion control scheme based on fuzzy logic systems for a wireless sensor network (WSN). In sensor networks existence of malicious nodes is undeniable. These nodes aggravate congestion problem by diffusing useless packets. In our approach using in-network fuzzy based processing, each node monitors the behavior of its neighbor nodes estimating their related trust...
Determining the architecture and parameters of neural networks is an important scientific challenge. This paper reports a new hybrid optimization method for optimization of back- propagation neural networks architecture and parameters with a high accuracy. We use particle swarm optimization that has proven to be very effective and fast and has shown to increase the efficiency of simulated annealing...
This paper proposes a novel reserve on-demand routing protocol for mobile ad hoc networks based on best route selection with learning autonoma. Our proposed protocol capable of operating efficiently under bursty traffic conditions, is introduced. We applied our method in an optimized version of ad hoc on-demand distance vector (AODV) routing algorithm, namely Reverse AODV (R-AODV) routing algorithm...
In this paper a new on-demand routing protocol for mobile ad hoc networks is presented based on link/route stability estimation. AODV decreases maintenance overhead in ad hoc networks, but some path breaks can significantly cause overhead. Reverse AODV (RAODV) routing algorithm is one of the AODV versions which reduces overhead of routing. Here, we applied link/route stability in RAODV for decrease...
Ball screw driven systems are widely used for motion control applications. In such systems, friction dominates the resulting performance and it should be compensated to achieve high precision in positioning and tracking. Hereby a friction model is introduced to describe dynamic behavior of the system and then three control strategies i.e. sliding mode control (SMC), complementary sliding mode control...
This paper presents a method for optimal allocation of distributed generation in distribution systems. In this paper, our aim would be optimal distributed generation allocation for loss reduction in distribution network. Ant colony search algorithm (ACSA) was used as solving tool. ACSA is inspired from the natural behaviour of the ant colonies on how they find the food source and bring them back to...
White matter fibre tractography is a non-invasive method for reconstructing three dimensional trajectories of fibre pathways. Fast Marching is one of fibre tracking methods in which co-linearity of principal eigenvectors determines the speed of front's evolution. In this algorithm effect of tensor's eigenvalues are not considered. In the current work, the speed function of standard fast marching was...
In this paper we present an approach la fault-tolerant stream processing. In contrast to previous techniques that handle node failures, our approach also tolerates network failures and network partitions. The approach is based on a principled trade-off between consistency and availability in the face of failure, that (1) ensures that all data on an input stream is processed within a specified time...
Scheduling algorithms are used in operating systems to optimize the usage of processors. One of the most efficient algorithms for scheduling is multi-layer feedback queue (MLFQ) algorithm which uses several queues with different quanta. The most important weakness of this method is the inability to define the optimized the number of the queues and quantum of each queue. These factors affect the response...
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