The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole model in detail is not possible. In thi...
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The need to examine and manipulate large surface models is commonly found in many science, engineering, and medical applications. On a desktop monitor, however, seeing the whole model in detail is not possible. In this paper, we present a new, interactive Focus+Context method for visualizing large surface models. Our method, based on an energy optimization model, allows the user to magnify an area of interest to see it in detail while deforming the rest of the area without perceivable distortion. The rest of the surface area is essentially shrunk to use as little of the screen space as possible in order to keep the entire model displayed on screen. We demonstrate the efficacy and robustness of our method with a variety of models.
Requirements traceability is becoming increasingly significant element in software engineering. It provides critical function in the development and maintenance of a software system. From the software evolution point ...
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In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignments. We first constructed a template library of structural clusters for all conserve...
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ISBN:
(纸本)1595934804;9781595934802
In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignments. We first constructed a template library of structural clusters for all conserved sequence domains. Then, for each cluster, we built the profile using the structure and sequence information. Finally we use the profile and structural alignments as anchors to increase the alignment accuracy between a query and its templates. Our preliminary results show that this method can be used for the partial prediction for a majority of known protein sequences with better qualities. Copyright 2007 ACM.
A systematic algorithm to build adaptive linguistic neuro-fuzzy models directly in order to identify spacecraft is presented in this paper. Using a simplified fuzzy reasoning mechanism, the Back-Propagation (BP) and L...
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ISBN:
(纸本)9781604231847
A systematic algorithm to build adaptive linguistic neuro-fuzzy models directly in order to identify spacecraft is presented in this paper. Using a simplified fuzzy reasoning mechanism, the Back-Propagation (BP) and Least Mean Squared (LMS) algorithms are implemented to tune the parameters of the membership functions. Recently most of work has been highlighted on the identification of multiple-input, single-output (MISO) nonlinear complex systems. In this paper we construct a neuro fuzzy model structure, and generate the membership function from the measured data. Here, neuro-fuzzy model of the system structure is incorporated easily in the structure of the model. The simulation is used to implement a spacecraft system using Matlab for momentyaw, momentpitch, and momentroll as input, and velocity in inertial axis as output. Experimental results are given to show the effectiveness of this ANFIS model.
While data and path redundance avoids, to some extent, data damages and mission failures resulting from node failures in networks, users must face up to the great challenge of Quality of Service(QoS), i.e., how to sel...
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Agent-based models are widely used for the simulation of systems from several domains (biology, economics, meteorology, etc). In biology agent-based models are very useful for predicting the social behaviour of system...
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A problem to make a graph strongly connected is one of the most fundamental problems in graph theory. The known parallel algorithm[1] solves this problem in O(log n) time using O(n3) processors on a CRCW PRAM model. I...
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Students and teaching staff in higher education are constantly looking for new tools to help them study and teach more efficiently. The University of Canterbury began Project Podcast to introduce podcasting to a numbe...
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Students and teaching staff in higher education are constantly looking for new tools to help them study and teach more efficiently. The University of Canterbury began Project Podcast to introduce podcasting to a number of subjects as an add-on to the current course curriculum. Podcasting is being used to enhance mobile learning and enthuse both students and lecturers. Previous podcasting evaluations show that there exists a need for both audio content from lectures, or so called "LectureCasts" as well as supplementary material or "Sup!Casts". In this study, we will be evaluating ProjectPodcast. The evaluation is aimed at both the student population as well as the lecturing staff in order to gain knowledge about their impressions of podcasting. Prior podcasting surveys have received low response rates, due to the choice of time, location and medium. Hence, our evaluation plan has been created with the goal of encouraging feedback from students and lecturers. In this paper we present our preparatory plan for evaluating ProjectPodcast.
Numerical estimation of quantum channel capacity is an important problem both theoretically and practically. Oto et al. showed an effective approximation algorithm to compute a capacity of a one-qubit quantum channel....
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