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In order to improve spectrum utilization efficiency of Cognitive Radio (CR) systems, it is important for Secondary User (SU) to get knowledge about Primary User(PU)'s behavior when SU exploits opportunity to access spectrum. Radio Environment Database has recently been proposed to provide information about PU. Traditional advanced spectrum database constructed based on spectrum sensing method assumes...
Face recognition is a popular technique in identifying human features. In certain application such as recognizing criminals from video surveillance, where no other physical trait is available, face recognition is the most practical and assessable human recognition method. For this reason, face recognition continue to attract large research interest among image processing community. In this paper,...
Telemedicine or mHealth systems can improve the quality of life of patients who need to be monitored continuously. Not only will it allow them to stay at their own home with a higher level of mobility but also maintaining or even improving the accuracy of the diagnostic. Remote monitoring can enable information about the health status of all patients to be passed to the medical staff continuously...
Proliferation of wearable devices and the “quantified self” behavior creates massive amounts of data acquired from physiological sensors. Unfortunately this vast amount of data is to date largely untapped for clinical purposes because of low data reliability caused by issues such as contact noise and motion artifacts. One important physiological signal is ECG and one of its important features is the...
The clustering ensembles mingle numerous partitions of a specified data into a single clustering solution. Clustering ensemble has emerged as a potent approach for ameliorating both the forcefulness and the stability of unsupervised classification results. One of the major problems in clustering ensembles is to find the best consensus function. Finding final partition from different clustering results...
If scaling has the benefit of enabling manufacturers to design tomorrow's integrated circuits, from the failure analyst point of view it also has the drawback of making devices more complex. The test sequence for modern VLSI can be quite long, with thousands of vector. Dynamic photon emission databases can contain millions of photons representing thousands of state changes in the region of interest...
Patient death ratio because of lung cancer is much higher than other types of cancer. Early detection is a must to take effective steps towards curing this disease. Medical researchers have proven that in most of the cases nodules or mass tissues in lung is an indication of lung cancer. Detection of these abnormalities at an early stage can help doctors to take proper steps towards curing this disease...
In this paper, we propose a formal methodology for tuning the parameters of a single-microphone speech enhancement system for hands-free devices. The tuning problem is formulated as a large-scale nonlinear programming problem that is solved by a genetic algorithm to determine the global solution. A conversational speech database is automatically generated by modeling the interactivity in telephone...
In this paper we propose the hybrid use of illuminant invariant and RGB images to perform image classification of urban scenes despite challenging variation in lighting conditions. Coping with lighting change (and the shadows thereby invoked) is a non-negotiable requirement for long term autonomy using vision. One aspect of this is the ability to reliably classify scene components in the presence...
A measurement system able to extract the envelop of signals coming from electrical motors has been presented. The system use a tri-axial accelerometer mounted on an electrical motor used on small Unmanned Aerial Vehicles to made a vibrational analysis. The aim of this paper is to show the first part of this system based on the Envelope Analysis that, with the support of a database and a comparison...
Evaluating the performance of database systems is crucial when database vendors or researchers are developing new technologies. But such evaluation tasks rely heavily on actual data and query workloads that are often unavailable to researchers due to privacy restrictions. To overcome this barrier, we propose a framework for the release of a synthetic database which accurately models selected performance...
This paper aims defining features to characterize Parkinsonian voice affected by tremor. It uses quasi-sinusoidal modelling of signals which assumes that speech signal is a sum of sinusoids with time-linearly varying instantaneous amplitudes and frequencies permits. The parameters of this model are calculated and their behavior is analyzed. The statistical analysis using box-plots permits to show...
This paper describes a method to suppress maternal and noise contamination in single-lead fetal Electrocardiogram (ECG) recordings. A compound signal was used from DaISy Database which was obtained non-invasively by placing electrodes on the abdomen area of the mother. The obtained signal includes maternal and fetal ECG signals and it was contaminated by various other signals from body and externally...
We have developed and analyzed Independent Component Analysis (ICA), Locality Preserving Projections (LPP), Minimum Average Correlation Energy (MACE) Gabor Filters, Score Level Fusion Techniques (SLFT) for Face Recognition in the presence of various noises and blurring effects. ICA considers statistical characteristics in second order or higher order. LPP is used to generate an unsupervised neighborhood...
During Expressive speech, the voice conveys intended message as well as basic emotions of the speaker. This work focuses on the development of expressive Text-to-Speech synthesis techniques for a Marathi (spoken in Maharashtra, India) language. The Pitch contour is one of the important properties of speech that is affected by emotional speech. This work presents analysis of Emotional and Neutral Marathi...
This paper presents a new approach to off-line handwritten digit recognition based on structural features which is not required thinning operation and size normalization technique. In this paper uses four different types of structural features namely, number of holes, water reservoirs in four directions, maximum profile distances in four directions, and fill-hole density for the recognition of digits...
In this paper, we present an automatic method for determining time-location of systolic peak in arterial blood pressure (ABP) signals. The method consists of four major steps: Gaussian derivative filtering, nonlinear peak amplification, Gaussian derivative based peak finding scheme, and peak position adjustment procedure. The method is tested and validated using the standard MIT-BIR Polysomnographic...
This paper presents a novel Full Reference method for image quality assessment based on two indices measuring respectively detail loss and spurious detail addition. These indices define a two dimensional (2D) state in a Virtual Cognitive State (VCS) space. The quality estimation is obtained as a 2D function of the VCS, empirically determined via polynomial fitting of DMOS values of training images...
This paper describes the RF measurement storage and database architecture for long-term continuously running spectrum observatories in the US (at Chicago and Blacksburg) and in Turku, Finland. It also describes how the measurement band plan has been collaboratively created taking into account the specifications and limits of the receiving system. Collecting measurements from different geographical...
In the paper a novel approach to the problem of eye blink detection in video sequences is proposed. The introduced method is utilizing the technique of Local Binary Patterns (LBP), which enables to build a descriptor capturing the features of the current eye state. In the initial step, the histogram of LBP describing the open eye is constructed and afterwards it serves as a template, which is compared...
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