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A technique has been presented to use ECG (Electrocardiogram) for human identification. Earlier researches were tested on PTB or MIT-BIH ECG data which was recorded once a person is at rest and will give erroneous results if the heart beat rate changes depending upon human activity. Hence time and amplitude normalization is necessary for identification. In this technique, R peaks of ECG signal are...
As Electrocardiogram (ECG) signals is concern, the second lead is most dominant among the twelve leads. Many techniques are available for human authentication purpose but most of them are untrusted and unsecured. Biometric based authentication system is secure, unique and more reliable for an individual. It deals with the human biometric characteristics such as teeth, face, finger, iris, voice, signature...
Researchers working in the field of image quality assessment are constantly developing algorithms for assessing the quality of a given image. This is a very challenging task as the given image may be affected by different types of distortions. One of the most common distortions is image blurring. In this paper, we propose a no-reference image quality assessment algorithm to assess the quality of images...
Indoor positioning technique has been attracting more and more attention in recent years. In this paper, we propose a multi-path profile fingerprinting localization system based on software defined radio (SDR) platform. The system initially calibrates the multi-path profile (MP) and received signal strength (RSS) information to construct a fingerprint database. In the online positioning phase, the...
The majority of computational work on emotion in music concentrates on developing machine learning methodologies to build new, more accurate prediction systems, and usually relies on generic acoustic features. Relatively less effort has been put to the development and analysis of features that are particularly suited for the task. The contribution of this paper is twofold. First, the paper proposes...
Video copy detection is still an open problem as current approaches are not able to carry out the detection with enough efficacy and efficiency. These are desirable features in modern video-based applications requiring real-time processing in large scale video databases and without compromising detection performance, especially when facing non-simulated video attacks. These characteristics are also...
Subjective test methodologies are morphing to enable researchers to answer questions relevant to rapidly evolving technologies in an efficient and reliable manner. This paper is an exploration of how subjective testing that employs crowdsourcing can be refined to drive stability and reliability in subjective results. We investigate how various design decisions can lead to disparate subjective responses;...
With the increased focus on visual attention (VA) in the last decade, a large number of computational visual saliency methods have been developed. These models are evaluated by using performance evaluation metrics that measure how well a predicted map matches eye-tracking data obtained from human observers. Though there are a number of existing performance evaluation metrics, there is no clear consensus...
This paper presents a full-reference image quality estimator based on SIFT descriptor matching over reliability-weighted feature maps. Reliability assignment includes a smoothing operation, a transformation to perceptual color domain, a local normalization stage, and a spectral residual computation with global normalization. The proposed method ReSIFT is tested on the LIVE and the LIVE Multiply Distorted...
A database for interconnected TE networks is proposed and implemented to enable dedicated applications to perform complex multi-domain/layer operations. The database is successfully utilized for effective and highly-scalable maintenance applications in multi-layer networks.
Obstructive Sleep Apnea (OSA) is a sleep disorder highly prevalent in the general population. Cardiorespiratory Phase Synchronization (CRPS) is a form of non-linear interaction between respiratory and cardiovascular systems that was found to be reduced in severe OSA patients. The Hilbert Transform (HT) method was the recommended choice for estimating the respiratory phase in CRPS studies. But we have...
We apply the sublinear time, scalable locality-sensitive hashing (LSH) and majority discrimination to the problem of predicting critical events based on physiological waveform time series. Compared to using the linear exhaustive k-nearest neighbor search, our proposed method vastly speeds up prediction time up to 25 times while sacrificing only 1% of accuracy when demonstrated on an arterial blood...
In this work, we describe a novel method based on waveform morphology for detecting artifacts in photoplethysmography (PPG) signals and, thus, improve reliability of PPG. By considering inter-individual and measure condition variability, specific parameters are estimated for each record. We introduce a novel metric for comparing pulses, which is the derivative of the correlation coefficient. Then,...
Heart rate variability (HRV) is a simple, non-invasive measure that can be used to quantify autonomic nervous system modulation. This method has been used to detect alterations of autonomic cardiovascular regulation in diabetes and metabolic syndrome (MetS). MetS is characterized by the clustering of glucose intolerance, central obesity, dyslipidemia, and hypertension. This study analyze the HRV using...
Aimed on the problems of complex placement problem location, graphic data association, the technology of quality statistical process control based on AOI results is proposed. Firstly, the framework of quality statistical process control technology is constructed. Then the three key technologies, which includes the quality data correlation technology, the visualization technology, the SPC analysis...
Clustering is a fundamental tool for data analysis. Typically, all attributes of the data are used for clustering. However, if a set of attributes can be divided into meaningful subsets, it may be effective to cluster the data for each subset. In this paper, we propose a method for dividing the set of elements of feature vectors into meaningful subsets. Considering the dependencies between the elements,...
This article proposes a new quality assessment method of fingerprint, represented by only a set of minutiae points. The proposed quality metric is modeled with the convex-hull and Delaunay triangulation of the minutiae points. The validity of this quality metric is verified on several Fingerprint Verification Competition (FVC) databases by referring to an image-based metric from the state of the art...
Then Open Government Data movement increases in recent years. The data has become an important part of Big Data. Data generated by different government agencies have different time and space coverages and are often focusing on various aspect of cities. These data could be co-registered in a unified spatial reference system for correlated analysis. This paper proposes a spatial grid based approach...
This paper aims to address the problem of unsupervised scene model adaptation for transferring semantic labels from ground level images to aerial and satellite scenes. Specifically, we present a novel unsupervised domain adaptation algorithm based on subspace alignment. The core idea is to reduce the feature distribution discrepancy between ground view images and overhead view remote sensing images...
The State Council proposed to develop the strategic emerging industries and give them some support in terms of policy in 2010. Under the policy context, this paper selected the new energy industry as the research object. Based on the panel data of the new energy industry from 2010 to 2014, we found that government subsidies had a weak positive correlation with the capital structure but a significantly...
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