More collaborative use of visualizations is taking place in the classrooms due to the introduction of pair programming and collaborative learning as teaching and learning methods. This introduces new challenges to the...
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ISBN:
(纸本)9781595936103
More collaborative use of visualizations is taking place in the classrooms due to the introduction of pair programming and collaborative learning as teaching and learning methods. This introduces new challenges to the visualization tools, and thus, research and theory to support the development of collaborative visualization tools is needed. We present an empirical study in which the learning outcomes of students were compared when students were learning in collaboration and using materials which contained visualizations on different, engagement levels. Results indicate that the level of engagement has an effect on students learning results although the difference is not statistically significant. Especially students without previous knowledge seem to gain more from using visualizations on higher engagement level.
Current development status and future development trend of MEMS inertial sensors are introduced in this paper firstly. A micro Strap-down Inertial Navigation System (SINS) with 3-axis micro accelerometer and 3-axis ME...
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Current development status and future development trend of MEMS inertial sensors are introduced in this paper firstly. A micro Strap-down Inertial Navigation System (SINS) with 3-axis micro accelerometer and 3-axis MEMS gyro is designed, and the SINS algorithm is simulated using MATLAB/SIMULINK. The simulation model of the Micro-inertial navigation system is established, and algorithm block diagram is also given, including the quaternion and flight parameter updating, the influence of the sensors' performance for the SINS accuracy is also analyzed. The input data of algorithm simulation platform would be all or partial output from the real MEMS inertial sensors or the projectile body in specific motion. The simulation results show that the algorithm is not only valid but also could be used to analyze the system function.
The particle swarm optimization (PSO) algorithm presents a new way for finding an optimal solution of complex optimization problems. In this paper a modified particle swarm optimization algorithm is applied to the opt...
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The particle swarm optimization (PSO) algorithm presents a new way for finding an optimal solution of complex optimization problems. In this paper a modified particle swarm optimization algorithm is applied to the optimization of the antenna array. We modify the PSO algorithm in some aspects. Firstly, the dynamic parameter is introduced to update the position equation, and the particles are limited in the search region. A new strategy for updating the speed is then adopted, in which the speed is weakened linearly. Based on these strategies, we proposed a new PSO algorithm named the crossed PSO algorithm. simulation results show that the optimal pattern of the antenna array is able to approach the desired pattern. The results also demonstrate that the modified algorithm is superior to the original algorithm and the nonlinear least-square method.
Robustness against deviations from nominal source pdf assumptions is very desirable in blind source separation (BSS) algorithms. In the paper, a new approach for robust BSS is proposed. The EASI (equivariant adaptive ...
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Robustness against deviations from nominal source pdf assumptions is very desirable in blind source separation (BSS) algorithms. In the paper, a new approach for robust BSS is proposed. The EASI (equivariant adaptive separation by independence) algorithm (Cardoso and Laheld, 1996) is modified to use ranks of observed signals. The modified EASI algorithm can be applied to both real-valued and complex-valued data. Design guidelines are discussed for the nonlinear rank weighting functions in the modified EASI algorithm. simulation results for two examples are given, showing very good performance.
The structural and magnetic properties of Cu-coated Cc clusters are investigated with empirical genetic algorithm simulation and a spin-polarized spd tight-binding model Hamiltonian. In some specific stoichiometric co...
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The structural and magnetic properties of Cu-coated Cc clusters are investigated with empirical genetic algorithm simulation and a spin-polarized spd tight-binding model Hamiltonian. In some specific stoichiometric compositions, icosahedral Co-n (n = 1, 2, 4, 7, 13, 19, 55) clusters perfectly coated with A Cu monolayer or dual layer are obtained. The outer Cu layers lead to significant modification of the magnetic moment of the Co core, depending on the structure and thickness of the Cu layers. The interaction between Cu and Co atoms induces a nonzero magnetic moment for Cu atoms.
A stable numerical method to simulate array induction and measurement-while-drilling (MWD) logs is presented. The algorithm is based on a horizontal eigenmode expansion method. Mode propagation in the vertical directi...
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A stable numerical method to simulate array induction and measurement-while-drilling (MWD) logs is presented. The algorithm is based on a horizontal eigenmode expansion method. Mode propagation in the vertical direction is described by three-layer modules. Within each module, general transmission and reflection coefficients are obtained by tracing the propagation of the modes. The multilayer cases are treated as a cascade of such modules. Owing to the mode-tracing algorithm, numerical stability and efficiency are superior to the other methods. This numerical algorithm is applied to the simulation of array induction and MWD logs in formations with both vertical and horizontal layers.
This paper presents an approach for dynamic modeling of flexible-link manipulators using artificial neural networks. A state-space representation is considered for a neural identifier. A recurrent network configuratio...
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This paper presents an approach for dynamic modeling of flexible-link manipulators using artificial neural networks. A state-space representation is considered for a neural identifier. A recurrent network configuration is obtained by a combination of feedforward network architectures with dynamical elements in the form of stable filters. To guarantee the boundedness of the states, a joint PD control is introduced in the system. The method can be considered both as an online identifier that can be used as a basis for designing neural network controllers as well as an offline learning scheme to compute deflections due to Link flexibility for evaluating forward dynamics. Unlike many other methods, the proposed approach does not assume knowledge of the nonlinearities of the system nor that the nonlinear system is linear in parameters. The performance of the proposed neural identifier is evaluated by identifying the dynamics of different flexible-link manipulators. To demonstrate the effectiveness of the algorithm, simulation results for a single-link manipulator, a two-link planar manipulator, and the Space Station Remote Manipulator System (SSRMS) are presented. (C) 2000 John Wiley & Sons, Inc.
We present an exact local bosonic algorithm for the simulation of dynamical fermions in lattice QCD. We show that this algorithm is a viable alternative to the Hybrid Monte Carlo algorithm.
We present an exact local bosonic algorithm for the simulation of dynamical fermions in lattice QCD. We show that this algorithm is a viable alternative to the Hybrid Monte Carlo algorithm.
The growing worldwide interest in exploiting programmable digital signal processors (DSPs) in telecommunication applications and systems has established the need for a prototyping environment. This environment compris...
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The growing worldwide interest in exploiting programmable digital signal processors (DSPs) in telecommunication applications and systems has established the need for a prototyping environment. This environment comprises various computer-aided software and hardware tools to meet the requirements of the development process, including specification, algorithm simulation, analysis, implementation and verification. This article discusses the issues concerning a prototyping process and the need for support tools for developing DSP applications. It is followed by an overview of existing tools and techniques. An integrated signal processing application development environment (SPADE) is then described.
A new non-local algorithm for the simulation of trees on the lattice Z(d) is proposed. We study the implementation and the properties of the algorithm, and show that it is decisively better than an algorithm which per...
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A new non-local algorithm for the simulation of trees on the lattice Z(d) is proposed. We study the implementation and the properties of the algorithm, and show that it is decisively better than an algorithm which performs only local moves. We use the new algorithm to investigate the properties of lattice trees in two, three, four, eight and nine dimensions.
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