This paper presents Noctua, a tool to assist in Knowledge Acquisition and Collaborative Knowledge Construction processes. Noctua contains an innovation: a virtual catalyst designed to facilitate the task of eliciting ...
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Designing an overlay network for publish/subscribe communication in a system where nodes may subscribe to many different topics of interest is of fundamental importance. For scalability and efficiency, it is important...
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The basis path testing is one of the most used techniques for generating white box lest cases. This approach depends on the unknown state of the program, variables at the time of execution, i.e., each path can be seen...
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ISBN:
(纸本)1891706292
The basis path testing is one of the most used techniques for generating white box lest cases. This approach depends on the unknown state of the program, variables at the time of execution, i.e., each path can be seen as the result of a random experiment, associated with an execution probability. We can define the coverage probability of a test set as the sum of the execution probability of its members. Although running the program a large number of times provide us an approximation for this set, its computational cost would be equal to that of testing the program in itself. This paper presents a method that uses a small set of execution samples to select a minimal set of execution paths, which has the property of its coverage probability being above a required confidence level, and then generate a natural language specification of the test case set. Experimental results show that it is not only simple to be applied but also generates a reliable test case set.
Due to increasing demand, container terminals face the challenges of increasing its service capacity and minimize the time of ships loading and unloading. The assignment of storage locations for reshuffled containers ...
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Due to increasing demand, container terminals face the challenges of increasing its service capacity and minimize the time of ships loading and unloading. The assignment of storage locations for reshuffled containers is a problem to the efficiency of container terminals operations, as a wrong assignment may result in several future reshuffles. This paper proposes a meta-heuristic based on the Clonal Selection Algorithm to minimize reshuffle when retrieving containers from a stack. The model competitiveness in accuracy and time are established by extensive numerical experiments comparing with an existing Integer program model. The preliminary results obtained here suggest the proposed model is a promising optimization tool for the container stacking problem.
In parallel programs, the tasks of a given application must cooperate in order to accomplish the required computation. However, the communication time between the tasks may be different depending on which core they ar...
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Sparse coding presents practical advantages for sensory representations and memory storage. In the insect olfactory system, the representation of general odors is dense in the antennal lobes but sparse in the mushroom...
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Sparse coding presents practical advantages for sensory representations and memory storage. In the insect olfactory system, the representation of general odors is dense in the antennal lobes but sparse in the mushroom bodies, only one synapse downstream. In locusts, this transformation relies on the oscillatory structure of antennal lobe output, feed-forward inhibitory circuits, intrinsic properties of mushroom body neurons, and connectivity between antennal lobe and mushroom bodies. Here we show the existence of a normalizing negative-feedback loop within the mushroom body to maintain sparse output over a wide range of input conditions. This loop consists of an identifiable “giant” nonspiking inhibitory interneuron with ubiquitous connectivity and graded release properties.
This presentation describes our experience in the development, implementation and evaluation of three different application specific e-health and telemedicine systems. There are two projects in the development, clinic...
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ISBN:
(纸本)9781457711671
This presentation describes our experience in the development, implementation and evaluation of three different application specific e-health and telemedicine systems. There are two projects in the development, clinical implementation, and evaluation of community healthcare e-health systems dedicated for community healthcare in Indonesia with two different specific applications: [a]. Paperless Prescription e-Health System and [b]. Mobile e-Health System for Supporting Mother and Childcare. The third project is [c]. Systematic Review of Publications on the Application Specific Telemedicine/e-Health Systems dedicated for Disaster Management, meeting certain predetermined criteria.
Software development is a series of processes activity involving more than one person, especially in medium to large software projects. Each activity of software development is carried out by various combination of di...
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Purpose: Vessel and bronchial bifurcations are ubiquitous in the lungs and their motions caused by respiration are detectable in 4D CT and serve as valuable internal fiducial markers for studying and monitoring the re...
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Purpose: Vessel and bronchial bifurcations are ubiquitous in the lungs and their motions caused by respiration are detectable in 4D CT and serve as valuable internal fiducial markers for studying and monitoring the respiratory motion patterns of the lungs. Bifurcations also serve as reliable landmarks for validation of deformable registration models. In this work, we report the first systematic investigation of motion patterns of a large collection of lung bifurcations. Methods: More than 500 bifurcations are identified automatically on a reference image. Each bifurcation is tracked separately. Trajectory of a bifurcation is defined by a B-spline space curve with 5 control points with imposed cyclic constraints. A metric is defined as the combination of the correlation coefficients from all images with respect to the reference image. It is used to measure how well the image intensities on the trajectory match. Correlation coefficient is employed since it is bounded and straightforward to indicate the reliability of a tracked trajectory. Finally, an optimization strategy based on the L-BFGS method is employed to optimize the metric parameterized by the coordinates of control points. Local extrema, if found, are suppressed by improving the initial conditions by random walks from pair-wise optimizations. Results: We successfully tested our method in 5 cases. With automatically detected bifurcations, the tracked trajectories correspond to image intensities of high correlation coefficients. Non-homogeneous and hysteretic motion is clearly observable in all cases. For validation, the tracking error is measured by computing the distance between the tracked and manual bifurcations. On average, the error is within the voxel size in all cases. Conclusions: We have shown that our approach can track the motion of the bifurcations in 4D CT images of the lung accurately. It may substitute the invasive fiducial markers as noninvasive counterparts for future real-time volumetric im
作者:
M. Alper TungaMetin DemiralpBahçeşehir University
Faculty of Engineering Department of Software Engineering Beşiktaş 34349 İstanbul Turkey İstanbul Technical University
Informatics Institute Computational Science and Engineering Program Group for Science and Methods of Computing Maslak 34469 İstanbul Turkey
High Dimensional Model Representation (HDMR) method does not have the random data partitioning capability because of its nature. This paper focuses on how we can bring the random data partitioning feature to the HDMR ...
High Dimensional Model Representation (HDMR) method does not have the random data partitioning capability because of its nature. This paper focuses on how we can bring the random data partitioning feature to the HDMR method by virtue of the fluctuation free approximation method for the multivariate interpolation problems. The main aim of this work is to construct the universal fluctuation free matrix and to determine the best eigenvalues and the corresponding eigenvectors needed in our new method for partitioning the given multivariate random data through the HDMR method.
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