Fingerprint identification is the most prominent method of biometric identification. Here, fingerprint is a widely used form of biometric identification and is robust means of person identification. In this, a set of minutiae points were considered and which characterize the fingerprints by extracting minutiae points from fingerprint under uncontrolled situation and it is a robust binarization ...

This paper proposes a new method to discriminate the vascular conditions from biological signals by using a probabilistic neural network, and develops the diagnosis support system to judge the patient’s conditions on-line. For extracting vascular features including biological signals, we model the dynamic characteristics of an arterial wall by using mechanical impedance and estimate the impedan...

This paper presents a technique for approximating, up to any precision, the set of subgame-perfect equilibria (SPE) in repeated games with discounting. The process starts with a single hypercube approximation of the set of SPE payoff profiles. Then the initial hypercube is gradually partitioned on to a set of smaller adjacent hypercubes, while those hypercubes that cannot contain any SPE point ...

The Problem: The expressiveness of human language allows people to express the same idea in many different ways; they may use different words to refer to the same entity or employ different phrases to describe the same concept. Thus, an effective information retrieval (IR) and question answering (QA) system must be equipped to handle these variations, both when processing documents and when fie...

The paper shows the methods for imaging power spectral density of speech and extracting formant frequencies from continuous voice. The methods will be used to improve the patients' rehabilitation after the total laryngectomy surgery. The adaptive algorithms and transversal filters were implemented to estimate the transfer function of human vocal tract model. The estimation methods were based on...

Tidal wetlands including intertidal flats are highly productive and have dynamic and diverse ecosystems. Despite the importance of the tidal flats and associated coastal habitats, theses areas are at risk due to high development pressure, such as reclamation and marine pollution. Because of their poor accessibility, remote sensing techniques are the most effective tool for tidal flat observatio...

Automatically segmenting and classifying clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text within. In this work we describe our approach to automatic section segmentation of clinical records such as hospital discharge summaries and radiology reports, alo...