Background: Notifiable disease surveillance in the United States is predominantly a passive process that is often limited by poor timeliness and low sensitivity. Interoperable tools are needed that interact more seaml...
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This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demonstrates robustness for data clustering ...
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Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge dete...
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Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.
Integration of version and access control of XML documents has the benefit of regulating access to rapidly growing archives of XML documents. Versioned XML documents provide us with valuable informations on dependenci...
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ISBN:
(纸本)9781595930453
Integration of version and access control of XML documents has the benefit of regulating access to rapidly growing archives of XML documents. Versioned XML documents provide us with valuable informations on dependencies between document nodes, but at the same time presenting the risk of undesirable data disclosure. In this paper we introduce the notion of relevancy-based access control, which realizes protection of versioned XML documents by various types of relevancy, such as version dependencies, schema similarities and temporal proximity. We define a new path query language XVerPath over XML document versions, which can be utilized for specifying relevancy-based access control policies. We also introduce the notion of relevancy class, for collectively and compactly specifying relevancy-based policies. Copyright 2005 ACM.
This work describes a workflow-based environment that manages the execution of software-testing processes. Testing processes require that human and computer resources be handled as dedicated resources, previously sche...
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ISBN:
(纸本)972886521X
This work describes a workflow-based environment that manages the execution of software-testing processes. Testing processes require that human and computer resources be handled as dedicated resources, previously scheduled for testing activities, with no overlapping. Two striking features of this environment are: a) the efficient handling of resources by taking into account the capabilities offered by resources required by testing activities, and b) it provides a broader view of all execution steps in a software-testing plan. Hence, it enables a better planning of software-testing process executions, as well as of human and computer resources involved.
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to locate the extrema but to follow it as c...
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ISBN:
(纸本)1595930108
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to locate the extrema but to follow it as closely as possible. This paper compares the extrema-tracking performance of a traditional Genetic Algorithm and a coevolutionary agent-based model of Genotype Editing (ABMGE). This model is constructed using several genetic editing characteristics that are gleaned from the RNA editing system as observed in several organisms. The incorporation of editing mechanisms provides a means for artificial agents with genetic descriptions to gain greater phenotypic plasticity. By allowing the family of editors and the genotypes of agents to coevolve using the re-generation of editors as a control switch for environmental changes, the artificial agents in ABMGE can discover proper editors to facilitate the tracking of the extrema in dynamic environments. We will show that this agent-based model, together with a coevolutionary mechanism, is more adaptive and robust than the GA. We expect the framework proposed in this paper to advance the current state of research of Evolutionary Computation in dynamic environments. Copyright 2005 ACM.
Many algorithms perform data clustering by compressing the original data into a more compact and interpretable representation, which can be more easily inspected for the presence of clusters. This, however, can be a r...
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GOMS is a well-known model that has been successfully used in predicting the performance of human-computer interaction, identifying usability problems and improving user-interface design. The focus of GOMS on the indi...
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GOMS is a well-known model that has been successfully used in predicting the performance of human-computer interaction, identifying usability problems and improving user-interface design. The focus of GOMS on the individual user, however, explains why it has not been applied in the groupware context. We were inspired by GOMS to define a model that describes collaborative tasks in a formal way. We illustrate the application of the model by applying it to the design of a collaborative tool for software engineering requirements negotiation.
Membrane capacitance and membrane conductance values are reported for insulin secreting cells (primary β-cells and INS-1 insulinoma cells), determined using the methods of dielectrophoresis and electrorotation. The m...
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Membrane capacitance and membrane conductance values are reported for insulin secreting cells (primary β-cells and INS-1 insulinoma cells), determined using the methods of dielectrophoresis and electrorotation. The membrane capacitance value of 12.57 (±1.46)mFm-2, obtained for β-cells, and the values from 9.96 (±1.89)mFm-2 to 10.65 (±2.1)mFm-2, obtained for INS-1 cells, fall within the range expected for mammalian cells. The electrorotation results for the INS-1 cells lead to a value of 36 (±22)Sm-2 for the membrane conductance associated with ion channels, if values in the range 2-3nS are assumed for the membrane surface conductance. This membrane conductance value falls within the range reported for INS cells obtained using the whole-cell patch-clamp technique. However, the total 'effective' membrane conductance value of 601 (±182) Sm-2 obtained for the INS-1 cells by dielectrophoresis is significantly larger (by a factor of around three) than the values obtained by electrorotation. This could result from an increased membrane surface conductance, or increased passive conduction of ions through membrane pores, induced by the larger electric field stresses experienced by cells in the dielectrophoresis experiments.
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