energy consumption is considered as a critical issue in wireless sensor networks (wsns). batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. an efcient solution to improve energy consumption and even trafc in wsns is data aggregation (da) that can reduce the number of transmissions. two main challenges for da are: (i)...

With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...

Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...

background: several landmine detection methods, based on nuclear techniques, have been suggested during the recent years. neutron energy moderation, neutron-induced gamma emission, neutron and gamma attenuation, and fast neutron backscattering are nuclear-based methods used for landmine detection. the aim of this study is to use backscattered neutron for landmine detection. materials and method...

   The current study designed and simulated graphene nanosensors for detection of GLY120 tumor-associated carbohydrate antigens. Graphene is a two-dimensional nanosheet that offers a high surface-to-volume ratio and high mobility which increases its sensitivity as a graphene sensor over that of other nanoparticles. The current study simulated graphene sensors with and without GLY12...

The estimation method for signal-to-noise ratio threshold values pertinent low-level signals detection is developed and employed. applicable original energy technique based upon distribution-free statistics computed using spectrum samples provided by measuring equipment. Estimated thresholds are determined equipment inherent noise fluctuations can be established in advance certain hardware sett...