Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework. The deviance information...
详细信息
Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework. The deviance information criterion (DIC) is the most popular criterion for Bayesian model selection and model comparison but has not been applied to Bayesian multiple QTL mapping. A derivation of the DIC is presented for multiple interacting QTL models and calculation of the DIC is demonstrated using posterior samples generated by Markov chain Monte Carlo (MCMC) algorithms. The DIC measures posterior predictive error by penalizing the fit of a model (deviance) by its complexity, determined by the effective number of parameters. The effective number of parameters simultaneously accounts for the sample size, the cross design, the number and lengths of chromosomes, covariates, the number of QTL, the type of QTL effects, and QTL effect sizes. The DIC provides a computationally efficient way to perform sensitivity analysis and can be used to quantitatively evaluate if including environmental effects, gene-gene interactions, and/or gene-environment interactions in the prior specification is worth the extra parameterization. The DIC has been implemented in the freely available package R/qtlbim, which greatly facilitates the general usage of Bayesian methodology for genome-wide interacting QTL analysis. (C) 2008 Elsevier B.V. All rights reserved.
Reconstruction of computer generated holograms (CGHs) addressed on a spatial light modulator (SLM) is an effective way to dynamically generate designed light field distributions. Based on the classic Gerchberg-Saxton ...
详细信息
Reconstruction of computer generated holograms (CGHs) addressed on a spatial light modulator (SLM) is an effective way to dynamically generate designed light field distributions. Based on the classic Gerchberg-Saxton (GS) algorithm, we proposed a technique, which can greatly reduce the computation cost to about 60 % in calculating CGHs for three-dimensional (3D) structures but with little degradation of reconstructed light field compared with the classic GS algorithm. The CGHs calculated by our method were displayed on a twisted nematic liquid crystal display, working as a phase-only-modulation SLM, and 3D structures of optical fields, e.g., 3D array of optical traps and vortices, were reconstructed with high efficiency and high quality. Besides, the possibility for 3D holographic display or projection was also demonstrated with this algorithm by reconstruction several images simultaneously in distinct axial planes.
The convergence properties of iterative learning control (ILC) algorithms are considered. The analysis is carried out in a framework using linear iterative systems, which enables several results from the theory of lin...
详细信息
The convergence properties of iterative learning control (ILC) algorithms are considered. The analysis is carried out in a framework using linear iterative systems, which enables several results from the theory of linear systems to be applied. This makes it possible to analyse both first-order and high-order ILC algorithms in both the time and frequency domains. The time and frequency domain results can also be tied together in a clear way. Results are also given for the iteration-variant case, i.e. when the dynamics of the system to be controlled or the ILC algorithm itself changes from iteration to iteration.
The main objective of compact device modelling is to perform the best possible fitting of the model to the measured characteristics. To do so, there are some parameters in the models that must be adjusted to the actua...
详细信息
The main objective of compact device modelling is to perform the best possible fitting of the model to the measured characteristics. To do so, there are some parameters in the models that must be adjusted to the actual values used in the technology, plus some other parameters that are used to overcome some of the limitations of the assumptions used in the model development. Obtaining the first set is usually straightforward, whereas determining the second set is more difficult, because the extraction methods are not always efficient and, moreover, there are parameters that are correlated with others, complicating the whole issue. Moreover, there may be parameters that are not relevant for the specific technology. If one could be able to determine the importance of different parameters, then effort could be better directed by dedicating more effort to the most important parameters. A method to order a list of given model parameters using the calculated importance as the criterion is proposed. This importance is calculated using a modification of the Google PageRank algorithm.
The use of simulation modeling in the disassembly of the graphite reactor masonry in the No. 1 unit of the Beloyarskaya NPP is expounded. The prerequisites for developing a simulation and teaching trainer are presente...
详细信息
The use of simulation modeling in the disassembly of the graphite reactor masonry in the No. 1 unit of the Beloyarskaya NPP is expounded. The prerequisites for developing a simulation and teaching trainer are presented. The trainer developed is described, and the results of it use in the disassembly of the graphite masonry of the reactor shaft are presented.
An algorithm for stereo-based obstacle detection in a general road scene is proposed. In the proposed algorithm, the vertical obstacles on a horizontal ground surface are defined as billboard planes, and the distant e...
详细信息
An algorithm for stereo-based obstacle detection in a general road scene is proposed. In the proposed algorithm, the vertical obstacles on a horizontal ground surface are defined as billboard planes, and the distant environment is modelled using a background wall. During stereo matching, each image pixel has a disparity value which is the distance to the billboard or the slope of the ground surface. The algorithm finally obtains a set of the billboard planes and efficiently manages them using frame coherence. Experimental results show that the use of billboard planes can effectively reduce the search range of disparities. Also, the proposed method produces reliable range data in accordance the KITTI benchmark.
A real-time method that automatically creates a visual memory of a scene using the growing neural gas (GNG) algorithm is described. The memory consists of a graph where nodes encode the visual information of a video s...
详细信息
A real-time method that automatically creates a visual memory of a scene using the growing neural gas (GNG) algorithm is described. The memory consists of a graph where nodes encode the visual information of a video stream as a limited set of representative images. GNG nodes are automatically generated and dynamically clustered. This method could be employed by robotic platforms in exploratory and rescue missions.
Describes a auto-adaptive N-step algorithm for computing straight lines in graphic displays. Property of the algorithm which automatically chooses the N value; Types of N-step algorithms; Properties of the single-, do...
详细信息
Describes a auto-adaptive N-step algorithm for computing straight lines in graphic displays. Property of the algorithm which automatically chooses the N value; Types of N-step algorithms; Properties of the single-, double-, triple- and quad-step algorithms; N-step algorithm performances in seconds; Possible patterns of the double-step algorithm.
A neural network (NN) algorithm is used to solve the vibrational Schrodinger equation for a molecule. Previous NN methods computed one level at a time, optimized all of the parameters using non-linear optimization met...
详细信息
A neural network (NN) algorithm is used to solve the vibrational Schrodinger equation for a molecule. Previous NN methods computed one level at a time, optimized all of the parameters using non-linear optimization methods, and were tested only on model potentials. Our approach combines non-linear optimization of neuron parameters with a linear matrix method. This improves dimensionality scaling and permits computing many levels. We use composite, flexible shape, radial basis function neurons. The algorithm avoids the calculation of integrals and of a potential energy function. We demonstrate that only a few dozen neurons are needed to compute five levels of water from a small set of potential points. (C) 2009 Elsevier B. V. All rights reserved.
A high-level artificial intelligence language with symbolic/logical manipulation capabilities, together with a simple ansatz based on the properties of the Fresnel ellipsoid, is used to implement an efficient computer...
详细信息
A high-level artificial intelligence language with symbolic/logical manipulation capabilities, together with a simple ansatz based on the properties of the Fresnel ellipsoid, is used to implement an efficient computer algorithm for automatic ray-tracing. The geometrical theory of diffraction (GTD) ray-tracing solution for the radio-line path-loss evaluation over piecewise-linear two-dimensional terrain profiles is presented.
暂无评论