Urban noise is an important environmental stressor, and sleep disturbance is its major health effect. Substantial inter-individual variance in these effects might partly be explained by different sensitivity to noise. The aim of this study was to assess the effects of urban noise on sleep and the relation between self-estimated sensitivity to noise and sleep disturbance. A cross-sectional quest...

We have developed convolutional sparse coding (CSC) to attenuate noise in seismic data. CSC gives a data-driven set of basis functions whose coefficients form distribution. The attenuation method by can be divided into the training and denoising phases. Seismic data with relatively high signal-to-noise ratio are chosen for get learned functions. Then, we use all (or subset) random or coherent N...

Unrehearsed spoken language often contains disfluencies. In order to correctly interpret a spoken utterance, any such disfluencies must be identified and removed or otherwise dealt with. Operating on transcripts of speech which contain disfluencies, our particular focus here is the identification and correction of speech repairs using a noisy channel model. Our aim is to develop a high-accuracy...

Mahalanobis distance metric takes feature weights and correlation into account in the distance computation, which can improve the performance of many similarity/dissimilarity based methods, such as kNN. Most existing distance metric learning methods obtain metric based on the raw features and side information but neglect the reliability of them. Noises or disturbances on instances will make cha...

This paper presents a new approach for power signal time series data mining using S-transform based K-means clustering technique. Initially the power signal time series disturbance data are pre-processed through an advanced signal processing tool such as S-transform and various statistical features are extracted, which are used as inputs to the K-means algorithm for disturbance event detection....

sleep plays a vital role in regulating physiological mechanisms in the human body. nowadays, by the change of lifestyle and as a consequence of longer work hours and increased accessibility to media, sleep disturbance becomes a common problem in modern society. many studies demonstrated that sleep disturbance triggers a systemic low-grade inflammation by increasing the level of several cytokine...