Point sources (PS) are one of the main contaminants to recovery cosmic microwave background (CMB) signal at small scales, and their detection is important for next generation CMB experiments. We develop a method (PoSeIDoN) based on fully convolutional networks detect PS in realistic simulations, we compare its performance against most used method, Mexican hat wavelet 2 (MHW2). produce simulatio...

Terrestrial LiDAR provides many disciplines with an effective and efficient means of producing realistic three-dimensional models of real world objects. With the advent of mobile terrestrial LiDAR, this ability has been expanded to include the rapid collection of three-dimensional models of large urban scenes. For all its usefulness, it does have drawbacks. One of the major problems faced by th...

Internet of Things is an ever-growing network of heterogeneous and constraint nodes which are connected to each other and the Internet. Security plays an important role in such networks. Experience has proved that encryption and authentication are not enough for the security of networks and an Intrusion Detection System is required to detect and to prevent attacks from malicious nodes. In this ...

A new technique to automatically detect the vanishing points in digital images is presented. The proposed method borrows several ideas from various papers on vanishing point detection and segmentation in sparse images and recombines them with a new intersection point neighborhood on Z.

We present a method for the automatic detection of vanishing points in urban scenes based on finding point alignments in a dual space, where converging lines in the image are mapped to aligned points. To compute this mapping the recently introduced PClines transformation is used. A robust point alignment detector is run to detect clusters of aligned points in the dual space. Finally, a post-pro...

Since the middle of the twentieth century, the problem of making inferences about the point in a surveyed series of observations at which the underlying distribution changes has been extensively addressed in the economics, biostatistics and statistics literature. CUSUM type statistics have commonly been thought to play a central role in non-sequential change point detections. Alternatively, we ...