Wireless Internet of Things (IoT) is widely accepted in data collection and transmission power system, with the prerequisite that base station wireless IoT be compatible a variety digital modulation types to meet requirements terminals different modes. As key technology communication, Automatic Modulation Classification (AMC) manages resource shortage improves spectrum utilization efficiency. A...

In this work, we present an approach to the detection of outliers in certain polygonal chains. These originate from images of mountains which are first segmented in order to extract the mountains silhouette. In general, the aim of our framework is to recognise the mountain in the image in order to overcome the problem of large amounts of images on the internet that are not tagged and thus canno...

This paper presents an Automatic Target Recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation is performed in both the range and non-range LADAR channels and results combined to increase object detection rate or decrease false positive ...

Unlike many common media gateways that simply exchange audio packets between senders and receivers, our AGW introduced here can work in heterogenous network environments and support an adaptive receiver-based audio transmitting stategy. Before relaying audio packets from source to destination, it decodes and analyzes the source packets, performing Automatic Gain Control (AGC) and Voice Automati...

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Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

The aim of this study is to characterize and find the location of geological boundaries in different wells across a reservoir. Automatic detection of the geological boundaries can facilitate the matching of the stratigraphic layers in a reservoir and finally can lead to a correct reservoir rock characterization. Nowadays, the well-to-well correlation with the aim of finding the geological l...

We have applied an automatic interpretation method of potential data called AN-EUL in unexploded ordnance (UXO) prospective which is indeed a combination of the analytic signal and the Euler deconvolution approaches. The method can be applied for both magnetic and gravity data as well for gradient surveys based upon the concept of the structural index (SI) of a potential anomaly which is relate...

In this contribution, an acoustic event detection system based on spectro-temporal features and a two-layer hidden Markov model as back-end is proposed within the framework of the IEEE AASP challenge ‘Detection and Classification of Acoustic Scenes and Events’ (D-CASE). Noise reduction based on the log-spectral amplitude estimator by [1] and noise power density estimation by [2] is used for sig...

A number of studies support the presence of visual automatic detection of change, but little is known about the brain generators involved in such processing and about the modulation of brain activity according to the salience of the stimulus. The study presented here was designed to locate the brain activity elicited by unattended visual deviant and novel stimuli using fMRI. Seventeen adult par...