This paper proposes a distributed method for cooperative target tracking in hierarchical wireless sensor networks. The concept of leader-based information processing is conducted to achieve object positioning, considering a cluster-based network topology. Random timers and local information are applied to adaptively select a sub-cluster for the localization task. The proposed energy-efficient t...

designing and producing a proper fusion construction is the most important problem of producing large quantities of a properly folded functional protein. this construction should have all necessary components of a real gene. a good designed fusion gene construction could be cloned into a good and suitable host. clostridium perfringens is an important pathogen of humans and livestock and produce...

Robust detection and tracking in a smart environment have numerous valuable applications. In this paper, an adaptive sensor fusion method which automatically compensates for bias between a laser scanner and video camera is proposed for tracking multiple people. The proposed system comprises five components: blob extraction, object tracking, scan data clustering, a cluster selection, and updatin...

piRNAs guide an adaptive genome defense system that silences transposons during germline development. The Drosophila HP1 homolog Rhino is required for germline piRNA production. We show that Rhino binds specifically to the heterochromatic clusters that produce piRNA precursors, and that binding directly correlates with piRNA production. Rhino colocalizes to germline nuclear foci with Rai1/DXO-r...

We report the first nosocomial outbreak of human metapneumovirus (hMPV) infection in a pediatric patient population. Among 15 pediatric hMPV infections from March to May 2007, there was a nosocomial outbreak involving two patients sharing a room in a hemato-oncology ward with a patient with a community-acquired case of hMPV infection. The estimated incubation period was 7 to 9 days for a sympto...

K-means algorithm could be used in intrusion detection, and selection of initial cluster centers was one of the most important factor that influenced the clustering performance, traditional method had a certain degree of randomness in dealing with this problem, therefore, information entropy was introduced into the process of cluster centers selection, and a fusion algorithm combining with info...

The medical images can be transmitted from patient room to remote medical centers for diagnosis through the wireless network in telemedicine system. In this connection, the existing methods are unable to achieve better Compression Ratio (CR) while maintaining the lower levels of distortion. An intelligent scheme has been developed for achieving a higher compression ratio and low distortion rate...

At present, multi-information fusion and compressive sensing arouse more and more research interest of people in the field of wireless sensor network. In wireless sensor network, due to the characteristics of limited energy and large quantity of nodes, it is unable to reduce network data traffic effectively through information simplification of monitoring data. In this paper, we divide the sens...

In this paper, we propose the use of cluster adaptive training (CAT) weights as features in support vector machine (SVM) based text-independent verification task. The speaker utterance is characterized by a vector of cluster weights, which are extracted during the cluster adaptive training process. The effects of the number of classes, which are obtained by partitioning the components of the mo...