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Cupping artifacts caused by x-ray scattering can seriously impact the quality of reconstructed images in cone-beam computed tomography (CBCT). The methods that can reduce and control the x-ray scatter is desired urgently. We propose a new scatter correction method based on the beam attenuation grid (BAG) technique. The new method which combines image sequence processing and Guassian Blurring is designed...
China Agriculture Remote Sensing Monitoring System (CHARMS) was established in 2001 by the Ministry of Agriculture of China. The main tasks of CHARMS are to monitor agricultural condition with remote sensing and other techniques and to provide basic information for government decision-making and agricultural production management. The European crop growth monitoring system (EU-CGMS) has been studied,...
In order to realize the integration of measurement, scan control and analysis of spectrum in the portable Near-infrared spectrometer, the data acquisition system based on DSP TMS320F2812 has been developed. The components of system include the analog-to-digital conversion module, the grating scan driving module, the LCD display module, the external storage module and the keyboard control module. The...
As a parallel programming framework, MapReduce has attracted more and more attention from both IT enterprises and research institutes that work for large dataset processing. SimMapReduce, a MapReduce simulator based on Grid Sim, is introduced to facilitate research on resource management and performance evaluation. With SimMapReduce simulator, researchers are free to implement scheduling algorithms...
Admission control test aims at determining whether an arriving task can be scheduled together with the tasks already running in a system, so that it can prevent system from overload and collapse. Although a number of schedulability tests have been studied, they are incomparable if the determination conditions are different. In order to keep high system utilization, the problem of choosing a reliable...
The main intention of this paper is to re-examine the martingale difference hypothesis for the two Chinese exchanges (Shanghai and Shenzhen) with new daily data. The hypothesis is tested with a new spectral method from Kuan and Lee (2004). We found that the stock prices of China do not follow the MDH except the Class A shares for Shanghai stock exchange. And also, after we divided the whole sample...
Cloud computing is a new emerging computing paradigm that advocates supplying users everything as a service. Compared with grid computing, the focus of resource management problem is transformed to resource virtualization and allocation rather than job decomposition and scheduling. It is more urgent to find better solutions for cloud resource allocation than ever before. Although there have been some...
This paper studies the design and analysis of multiresolution vector quantization (MRVQ) for broadcast channels. Given a broadcast system with MRVQ, a random index assignment, and a coded broadcast channel, we first obtain a closed-form formula for the weighted end-to-end distortion (EED) of the system. Based on the formula, an iterative algorithm is then proposed for designing optimal MRVQ for the...
Pattern technology of writing is widely used in machine writing systems. In pattern technology, there are two core issues about chunk as writing material in the pattern. One is chunk retrieval, the other is chunk packing. In this study, we focus on the problem of chunk retrieval and packing with given style, topic and content of practical writing. We proposed the concept of chunk, and discussed the...
The topological design of local area network is a process to find the network with the best performance, minimum cost and highest reliability, under the objective and engineering constraints. The problem could be considered as a multi-objective optimization problem, owing to that it requires all kinds of network performances be optimized at the same time and keeps the cost minimum, and has been proven...
The electric furnace is a multivariable nonlinear industrial complex plant. It is very hard to give the exact mathematical model and to confirm parameters. In this paper, the adaptive fuzzy control is applied into the temperature control of the electric furnace to avoid the influence of the inaccuracy of model. In order to improve the limitation of the traditional fuzzy control, the fuzzy algorithm...
Based on analysis of medical logistics characters, reasonable thesis and subject conditions of medical logistics math model were proposed. At the same time, the objective function of the medical logistics distribution routing optimization was composed. The genetic algorithm has the ability of finding the optimization routing. The optimization of the objective function was obtained by genetic algorithm...
Word-based representation is widely used in text categorization. However, performance of this approach is affected by the problems derived from language variation. In this paper, we investigate a document representation combining words and concepts to integrate the advantages of two types of representations. The approach takes the part of speech as the concept for the word which is error-prone in...
The vertical electric furnace is a multi-variable complex system, conventional control methods are used to control it, to need modelling and decoupling. In this paper, a new approach that automates the optimization of fuzzy control by using improved genetic algorithm is proposed for the vertical electric furnace. This algorithm is an on-line technique and is used to tune the parameters of the fuzzy...
The cost function of medicine logistics distribution routing was constructed. Genetic algorithm possesses the ability to solve multi-object problem. Genetic algorithm was utilized to optimize the constraint cost function. Simulation result shows that the genetic algorithm possesses the better optimization quantity and effect in the medicine logistics distribution routing.
Estimation of Distribution Algorithms (EDAs) can be viewed as the outcome of the cooperation between evolutionary computation and probabilistic graphical models. In this paper, we review some continuous EDAs based on Gaussian network model and discuss their some known problems briefly. To prevent premature convergence and repair singular covariance matrix, we propose the PCA-EDA algorithm which integrates...
We explore the meta-heuristic approach called scatter search for the constrained layout optimization. The scatter search framework is flexible and allows the development of alternative implementations for different problems. We empirically study the coordinate transformation-based diversification method and the reference set update method on the basis of two dissimilarities. We present two approaches...
We explore the meta-heuristic approach called scatter search for the constrained layout optimization. The scatter search framework is flexible and allows the development of alternative implementations for different problems. We empirically study the coordinate transformation-based diversification method and the reference set update method on the basis of two dissimilarities. We present two approaches...
This paper presents a co-evolutionary game optimization algorithm (CEGA) to explore the layout design of a simplified international commercial communication satellite module. The method is inspired by game theory and co-evolutionary optimization algorithm. Some comparisons are offered with other optimization algorithms in terms of both solution quality and efficiency of computation. These contrast...
Based on the analysis of the existing security problems in SAN (storage area network) environment, the paper presents a multiple joint prevention technique of the information security in SAN. For the destroyed data, the paper proposes a fast and valid data recovery method using the snapshot technique. Being compared with the traditional intrusion prevention policy, the proposed policy in this paper...
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