One of the results of recent experiments is the lack of signature of D-D reaction as in standard fusion process; this is part of the reason to suggest that D-D fusion doesn’t take place [1]. However, Takahashi suggests new possible reaction in the context of cluster deuterium, called 4D fusion [1][2][3], this mechanism seems to enable reaction at low temperature (CMNS). His result (2009) can be...

The Wireless Sensor Network technology has been used widely; however the limited energy resource is one of the bottlenecks for its application. To enhance the robustness and accuracy of the information which is obtained by the entire network, certain redundancy exists in the data collected from the sensor node and thus data fusion processing is needed to reduce the redundant information. Firstl...

In wireless sensor networks (WSN), data fusion should be energy efficient. But, determining the optimal number of aggregators in an energy efficient manner is a challenging task. Moreover, the existing data fusion techniques mostly use the same path for transmitting aggregated data to the sink which reduces the nodes lifetime. In this paper, we propose a technique which combines energy efficien...

We deal with the issue of combining dozens of classifiers into a better one, for concept detection in videos. We compare three fusion approaches that share a common structure: they all start with a classifier clustering stage, continue with an intra-cluster fusion and end with an inter-cluster fusion. The main difference between them comes from the first stage. The first approach relies on a pr...

Ligand-protected Au 2 Cu 6 cluster exhibits not only fluorescence but also phosphorescence at room temperature and serves as a triplet sensitizer in fusion upconversion.

Fusion and ensemble is important technique of machine learning. Fusion fused the feature attribute of different classifier and improved the classification of binary classifier. Instead of that ensemble technique provide the facility of merge two individual classifier and improve the performance of both classifiers. The ensemble technique of classifier depends on number of nearer point of classi...

This paper addresses effect of reporting channel bandwidth on cognitive radio (CR) networks. A cluster based approach is considered where the secondary base station is replaced by a fusion center and a global reporting channel is used instead of local ones. A new approach to select the fusion center based on the general centre scheme in graph theory is proposed. The minimal dominating set (MDS)...

Decay and fusion as two different mechanisms of stability loss for the (C 20) 2 cluster dimer ABSTRACT The thermal stability of the (C 20) 2 cluster dimer consisting of two C 20 fullerenes is examined using a tight-binding approach. Molecular dynamics simulations of the (C 20) 2 dimer at temperatures T = 2000-3500 K show that the finite lifetime τ of this metastable system is determined by two ...