Algorithm visualizations graphically illustrate how algorithms work. In prior ethnographic studies of a computer science course in which students were required to construct and present their own algorithm visualizatio...
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Algorithm visualizations graphically illustrate how algorithms work. In prior ethnographic studies of a computer science course in which students were required to construct and present their own algorithm visualizations, we observed that visualizations based on storylines tended to stimulate increased audience interest and involvement. This observation, coupled with the empirical research that substantiates the value of stories as mnemonic devices, raises an interesting research question: Do visualizations with storylines actually help students remember the procedural behavior of an algorithm better than visualizations that do not involve storylines? To investigate this question, we conducted an experimental study that compared the memorability of algorithm descriptions involving differing degrees of spatial and verbal embellishment. The study failed to detect significant differences. We reflect on our lack of significant results, and suggest two alternative paths for future research into the value of story-based algorithm visualization
Modeling and managing business processes that span multiple organizations involves new challenges, mainly regarding the ability to cope with change, decentralization, and the required support for interoperability. In ...
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<正>Parallel Kinematic Machines (PKM), i.e. machines based on parallel structures, have become a more and more promising alternative to conventional serial machines in the field of handling units, robots and machi...
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<正>Parallel Kinematic Machines (PKM), i.e. machines based on parallel structures, have become a more and more promising alternative to conventional serial machines in the field of handling units, robots and machine tools. Just replacing the serial type with the parallel one is not recommended here. To find a technical as well as economical basis of decision it is necessary to define characteristic functions and assign indices to create structural performance criteria of the mechanical system. Characteristic functions may become thereafter elements of a global goal or cost function in a following optimization procedure.
作者:
徐静波徐望人College of Electronic & Electrical Engineering
Shanghai University of Engineering Science Shanghai 200336 College of Information science and technology
Donghua University Shanghai 200051he totally coded method (TCM) reveals the same objective law which governs the gain calculating for signal flow graph as Mason formula does. This algorithm is carried out merely in the domain of code operation. Based on pure code algorithm it is more efficient because figure searching is no longer necessary. The code-series (CS) which are organized from node association table have the holoinformation nature so that both the content and the sign of each gain-term can be determined via the coded method. The principle of this method is obvious and it is suited for computer programming. The capability of the computeraided analysis for Switched Capacitor (SCN) can be enhanced.
The totally coded method (TCM) reveals the same objective law, which governs the gain calculating for signal flow graph as Mason formula does. This algorithm is carried out merely in the domain of code operation. Base...
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The totally coded method (TCM) reveals the same objective law, which governs the gain calculating for signal flow graph as Mason formula does. This algorithm is carried out merely in the domain of code operation. Based on pure code algorithm, it is more efficient because figure searching is no longer necessary. The code-series ( CS ), which are organized from node association table, have the holoinformation nature, so that both the content and the sign of each gain-term can be determined via the coded *** principle of this method is obvious and it is suited for computerprogramming. The capability of the computeraided analysis for Switched Capacitor (SCN) can be enhanced.
The paper studies the motion laws influence over the VIPAS1 industrial robot working. The motion differential equations, that govern the motion robot were established. Using them we can study the direct problem for th...
This paper presents an extension of our Mathematica- and MathCode-based symbolic-numeric framework for solving a variety of partial differential equation (PDE) problems. The main features of our earlier work, which im...
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This paper presents an extension of our Mathematica- and MathCode-based symbolic-numeric framework for solving a variety of partial differential equation (PDE) problems. The main features of our earlier work, which implemented explicit finite-difference schemes, include the ability to handle (1) arbitrary number of dependent variables, (2) arbitrary dimensionality, and (3) arbitrary geometry, as well as (4) developing finite-difference schemes to any desired order of approximation. In the present paper, extensions of this framework to implicit schemes and the method of lines are discussed. While C++ code is generated, using the MathCode system for the implicit method, Modelica code is generated for the method of lines. The latter provides a preliminary PDE support for the Modelica language. Examples illustrating the various aspects of the solver generator are presented.
In this paper we present an optimal algorithm to solve the all-pairs shortest path problem on permutation graphs with n vertices and m edges which runs in O(n 2) time. Using this algorithm, the average distance of a p...
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作者:
Gärtner, Felix C.
School of Computer and Communication Sciences Distributed Programming Laboratory LausanneCH-1015 Switzerland
The Byzantine failure model allows arbitrary behavior of a certain fractionof network nodes in a distributed system. It was introduced to model and analyze the effects of very severe hardware faults in aircraft contro...
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To reduce speech recognition error rate we can use better statistical language models. These models can be improved by grouping words into word equivalence classes. Clustering algorithms can be used to automatically d...
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To reduce speech recognition error rate we can use better statistical language models. These models can be improved by grouping words into word equivalence classes. Clustering algorithms can be used to automatically do this word grouping. We present an incremental clustering algorithm and two iterative clustering algorithms. Also, we compare them with previous algorithms. The experimental results show that the two iterative algorithms perform as well as previous ones. It should be pointed out that one of them, that uses the leaving one out technique, has the ability to automatically determine the optimum number of classes. These iterative algorithms are used by the incremental one. On the other hand, the proposed incremental algorithm achieves the best results of the compared algorithms, its behavior is the most regular with the variation of the number of classes and can automatically determine the optimum number of classes.
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