A three-stage methodology for the extraction of maternal and fetal heart rate using abdominal ECG leads, is presented. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are d...
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The explosive growth of the bioinformatics field has led to a large amount of data and software applications publicly available as web resources. However, the lack of persistence of web references is a barrier to a co...
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The explosive growth of the bioinformatics field has led to a large amount of data and software applications publicly available as web resources. However, the lack of persistence of web references is a barrier to a comprehensive shared access. We conducted a study of the current availability and other features of primary bioinforo matics web resources （such as software tools and databases）. The majority （95%） of the examined bioinformatics web resources were found running on UNIX/Linux operating systems, and the most widely used web server was found to be Apache （or Apache-related products）. Of the overall 1,130 Uniform Resource Locators （URLs） examined, 91% were highly available （more than 90% of the time）, while only 4% showed low accessibility （less than 50% of the time） during the survey. Furthermore, the most common URL failure modes are presented and analyzed.
In this paper we present a methodology for bio sequence classification, which employs sequential pattern mining and optimization algorithms. In the first stage, a sequential pattern mining algorithm is applied to a se...
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Terrain selection can't be realized automatically in *** a certain GIS, an automatic terrain selection based on clustering (CTS) is *** processes the data from the DEM layer according to constrained conditions, an...
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Terrain selection can't be realized automatically in *** a certain GIS, an automatic terrain selection based on clustering (CTS) is *** processes the data from the DEM layer according to constrained conditions, and constructs clusters by unconnected graph traversal in order to obtain the primary *** terrain selection based on genetic algorithm (GATS) is also *** uses correlative selection operator in the family, adjusts dynamically crossover and mutation ratios, and designs fitness function by utilizing synthetically several species of constrained conditions and fuzzy membership degree so as to optimize terrain ***, CTS doesn't need to assign the numbers of clusters previously, and the selected terrain accord with primary *** can provide prepared multi-schemes *** experimental results show that the two methods are feasible and effective.
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeo graphical data, where the numerical attributes correspond to environ...
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We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeo graphical data, where the numerical attributes correspond to environmental variables and the binary attributes encode the presence or absence of species in different environments. From the viewpoint of itemset mining, the task is to select a small collection of interesting itemsets using the numerical attributes;from the viewpoint of the numerical attributes, the task is to constrain the search for local patterns (e.g. clusters) using the binary attributes. We give a formal definition of the problem, discuss it theoretically, give a simple constant-factor approximation algorithm, and show by experiments on bio-geographical data that the algorithm can capture interesting patterns that would not have been found using either itemset mining or clustering alone.
Today there is a large movement towards creating social and cognitive robots. Today there is research aiming at using robots as care support as well as social agents introduced in geriatric care and home care. Much of...
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Today there is a large movement towards creating social and cognitive robots. Today there is research aiming at using robots as care support as well as social agents introduced in geriatric care and home care. Much of the research is aimed at the development of cognitive and social agents, since robot agents are considered to need ways of interacting with the people in the surrounding areas. In this perspective it is necessary to start thinking of robots not only in terms of social, cognitive or sociable, but also of socially acceptable. What are the requirements for a socially acceptable robot, and which properties in a robot provide for making it more or less acceptable as part of a social environment? In this paper a set of tentative acceptance properties is presented, together with the results from a pilot study trying to assess the importance of some of these properties for the social acceptance of domestic service robots.
A proper behaviour of a robot is probably of importance when we consider the possibility of having it accepted by people. For example, it has been shown that erratic or unexplained behaviour tends to be a cause of dis...
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A proper behaviour of a robot is probably of importance when we consider the possibility of having it accepted by people. For example, it has been shown that erratic or unexplained behaviour tends to be a cause of distrust in the robot. There are several other, more non-technical issues that need to be fulfilled by the robot in order to make it acceptable in society. Even for cognitive, intelligent and largely autonomous robots their tasks need to be modelled. One such task modelling method, task patterns, has been proposed earlier as a language for describing robot activities. In this article it is suggested that the task pattern language can be extended through a framework based on the ideas behind Design Patterns, to also incorporate modelling of task properties that are important to the acceptance of a robot in a social environment.
A three-stage methodology for the extraction of maternal and fetal heart rate using abdominal ECG leads, is presented. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are d...
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A three-stage methodology for the extraction of maternal and fetal heart rate using abdominal ECG leads, is presented. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are detected, using multiscale principal components analysis (MSPCA) and the Smoothed Nonlinear Energy Operator (SNEO). Maternal fiducial points are used to eliminate the maternal QRS complexes from the abdominal ECG recordings. In the second stage, again MSPCA and SNEO are employed in order to detect the fetal heart beats that do not overlap with the maternal QRSs (eliminated from the first stage). The extraction of the fetal heart rate is accomplished in the last stage, using a histogram based technique in order to identify the positions of the fetal heart beats that overlap with the maternal QRSs. Real signals, recorded from different pregnant women and different weeks of gestation, are used for the evaluation of the proposed methodology and the obtained results indicate high performance (accuracy 95%).
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