Biological membrane fusion is a local-point event, extremely fast, and under strict control. Proteins are responsible for the mutual recognition of the fusion partners and for the initiation of biomembrane fusion, and thus determine where and when fusion occurs. However, the central event during membrane fusion is the merger of two membranes, which requires a transient reorganization of membran...

Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone overenhancement, color distortion or time consumption, their adaptability is fairly limited. Therefore, we propose a new single low-light lightness method. First, energy model presented based on analysis membrane vibrations induced by photo...

Image fusion has lots of application in real life to furnish a combined form of many oriented objects of different images into single image. Adaptive Fuzzy logic model with local level processing is a controlling tool to model image characteristics accurately and been successfully applied to a large number of image processing applications. In this paper an adaptive fuzzy logic model have been p...

This paper presents a distributed receding horizon filtering algorithm for multisensor continuous-time linear stochastic systems. Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different horizon lengths. The fusion estimate of the state of a dynamic system represents the optimal linear fusion by weighting matrices under the minimum me...

In this paper, we discuss radial basis function (RBF) classi$ers and classi$er fusion architectures to categorize bioacoustic time series. The proposed methods are evaluated on a data base of cricket songs of 35 di;erent species recorded in Thailand and Ecuador. Local characteristic features are extracted from the recordings and then categorized by RBF classi$ers. These local decisions are then...

This paper is concerned with distributed limited memory prediction for continuous-time linear stochastic systems with multiple sensors. A distributed fusion with the weighted sum structure is applied to the optimal local limited memory predictors. The distributed prediction algorithm represents the optimal linear fusion by weighting matrices under the minimum mean square criterion. The algorith...

A sensor fusion methodology for the Gaussian mixtures model is proposed for ballistic target tracking with unknown ballistic coefficients. To improve the estimation accuracy, a track-to-track fusion architecture is proposed to fuse tracks provided by the local interacting multiple model filters. During the fusion process, the duplicate information is removed by considering the first order redun...

In this paper, low-complexity distributed fusion filtering algorithm for mixed continuous-discrete multisensory dynamic systems is proposed. To implement the algorithm a new recursive equations for local cross-covariances are derived. To achieve an effective fusion filtering the covariance intersection (CI) algorithm is used. The CI algorithm is useful due to its low-computational complexity fo...

As ideal tools, autonomous underwater vehicles (AUVs) are used to implement underwater monitoring missions instead of human. Because the underwater images captured are many close-range images, the mosaicing and fusion method is applicable to create large visual representations of the sea floor. A novel mosaicing and fusion approach based on weighted aggregation energy threshold using Biorthogon...

This paper deals with decision fusion in wireless sensor networks (WSNs) over Rayleigh fading channels. The likelihood ratio test (LRT) is considered as the optimal fusion rule when applied at the fusion center (FC). However, applying the LRT at the FC requires both the channel state information (CSI) and the local sensors’ performance indices. Acquiring such information is considered as an ove...