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Online handwritten signature is a behavioral biometric trait with several practical applications. Examples of these applications include access control to personal devices and validation of online transactions. Several research work have been done to improve the performance of online signature verification systems. This paper presents an improvement of a recently proposed online signature verification...
This paper presents the use of logistic and ordinal regressions for predicting the classification of patients into the Phadiatop test groups. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, the Clinic of Occupation and Preventive Medicine. Two databases were available for the research giving the records about family and personal anamnesis...
This paper gives theoretical insight into importance of information literacy in formal and informal education and self-education of individual in information society. Libraries traditionally have great role in rising information literacy and one way of rising information literacy could be through their e-tutorials about information literacy. Working hypothesis in this paper is that level of presence...
The introduction of next generation sequencing in ecological studies has created a major revolution in microbial and fungal ecology. Direct sequencing of hypervariable regions from ribosomal RNA genes can provide rapid and inexpensive analysis for ecological communities. In order to get deep understanding from these rRNA fragments, the Ribosomal Database Project developed the 'RDP Classifier' utilizing...
The current trend for building an ontology-based data management system (DMS) is to capitalize on efforts made to design a preexisting well-established DMS (a reference system). The method amounts to extracting from the reference DMS a piece of schema relevant to the new application needs—a module—, possibly personalizing it with extra constraints w.r.t. the application under...
Person re-identification involves recognising individuals in different locations across a network of cameras and is a challenging task due to a large number of varying factors such as pose (both subject and camera) and ambient lighting conditions. Existing databases do not adequately capture these variations, making evaluations of proposed techniques difficult. In this paper, we present a new challenging...
The size and scope of standoff multimodal biometric datasets can be increased through the adoption of a common architecture to collect, describe, archive, and analyze subject traits. The Extendable Multimodal Biometric Evaluation Range (EMBER) system developed by MIT Lincoln Laboratory is a field-ready, easily adaptable architecture to streamline collections requiring multiple biometric devices in...
Although citizen science projects can engage a very large number of volunteers to collect volumes of data, they are susceptible to issues with data quality. Our experience with eBird, which is a broad-scale citizen science project to collect bird observations, has shown that a massive effort by volunteer experts is needed to screen data, identify outliers and flag them in the database. The increasing...
Workflows provide a popular means for preserving scientific methods by explicitly encoding their process. However, some of them are subject to a decay in their ability to be re-executed or reproduce the same results over time, largely due to the volatility of the resources required for workflow executions. This paper provides an analysis of the root causes of workflow decay based on an empirical study...
Most research assume a clean slate approach towards the emergence of secondary spectrum markets. Additionally markets are typically designed with an underlying assumption of participating actors being homogeneous (i.e. using similar wireless architecture). In contrast with above we take an evolutionary approach when designing our market mechanism towards heterogeneous secondary usage of the radio...
The fetal electrocardiogram can be obtained from abdominal electrocardiogram using standard digital signal processing. The algorithms designed for this purpose cannot be evaluated by performance index, since the fetal electrocardiogram is not known a priori. In this paper we review the different models to generate synthetic or semi-synthetic databases, and the performance index to evaluate algorithms...
The Loess Plateau covers an area of 640,000 km2 in the upper and middle reaches of China's Yellow River. The natural environment of this region is complex and variable and is considered as one of the major ecologically fragile areas in China. In the last two decades, with dramatic changes in population, agricultural cultivation patterns and regional climate, uncertainty surrounding the potential to...
Three-dimensional virtual space is often regarded as one of the more appealing characteristics of multiplayer online games, but the actual use of that space remains one of their more under-studied features. Consequently, accounts of what people actually do in multiplayer online games are incomplete, as is our understanding of what 3D contributes to the game. To address this lack, a systematic study...
Software framework to support modeling and performing simulations of multilevel physiological systems has been developed and expanded to support the cloud computing. The framework is composed of two blocks, i.e. PhysioDesigner and Flint. PhysioDesigner is an application providing a graphical user interface for assisting users in multilevel modeling of physiological functions and a terminal interface...
We analyze the privacy implications of identity references in biometric databases in which either raw biometric samples or templates are stored. The analysis was inspired by the privacy requirement imposed by the Norwegian National DPA (Data Protection Act Privacy Advisor) on the fingerprint data collection for one of our research projects. The respective DPA approved maintenance of a fingerprint...
Disease progression models are useful tools for gaining a systems' understanding of the transitions to disease states, and characterizing the relationship between disease progress and factors affecting it such as patients' profile, treatment and the HIV diagnosis stage. Patients are classified into four states (based on CD4+ T-lymphocyte count) and all the transitions are allowed. Examinations to...
Because biological systems with high-throughput performance generate huge amount of experimental data, biologists need efficient methods to analyze large datasets. Specifically, researchers in systems biology require the ability to compare and integrate complex data from different omics' experiments. This requirement results in the standardization of formats for data representation and communication...
We present a new gait identification method based on dynamic time warping (DTW), as video surveillance system requires high accuracy and precision. It could reduce computational cost of gait recognition, significantly improve the recognition rate for gait and meet the demand of video surveillance. The characters of human appearance have been utilized to extract entire binary image of human silhouette...
This paper introduces a cognitive decision architecture (CDA) which seeks to support a wide range of decision making systems. The architecture is consisted of three layers: cognitive layer (CL), individual decision layer (IDL) and group decision layer (GDL). We utilize a typical symbolic cognitive architecture-Soar as the underlying infrastructure of CDA. Decision table of rough set theory is used...
Support vector machines (SVMs) have become an alternative tool for pattern recognitions, and more specifically for Handwritten Signature Verification Systems (HSVS). Usually, the bi-class SVMs (B-SVM) are used for separating between genuine and forged signatures. However, in practice, only genuine signatures are available. In this paper, we investigate the use of one-class SVM (OC-SVM) for handwritten...
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