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A new wavelet packet image compression method is proposed based on PSO algorithm. The PSO is utilized to find out the best wavelet packet basis for image compression. A fitness function is designed in terms of the Mean Square Error (MSE) and the sum of the node entropy. Compared with the global soft threshold compression algorithm provided by Matlab soft, the proposed method exhibits better compression...
In this paper, a fuzzy facility location model with Value at Risk (VaR) is proposed, which is a two-stage fuzzy zero-one integer programming. Since the fuzzy parameters of the location problem are continuous fuzzy variables with an infinite support, the computation of VaR is inherently an infinite-dimensional optimization problem, which can not be solved analytically. In order to solve the model,...
In this paper, A Urban public transportation positioning system is designed based on overlay network. and its Network topology structure and system framework are also shown, based on the postioning system, it decribles the hardware model of GPRS accessing internet and control programe. and then gives the Transceiver circuit of RF model and control programe. According to the characteristics of buses...
In this study, a new artificial neuron network model called the meta-controlled Boltzmann machine is introduced. The meta-controlled Boltzmann machine model includes the McCulloch-Pitts model, the Hop field network, and also the Boltzmann machine. The proposed method are applied both diffusion processes and simulated annealing. The convergence proof of the proposed method is shows in this paper. Meta-controlled...
Considering that main steam pressure of combustion system is a big-lagged, big-inertial and nonlinear object, the furnace radiation signals can rapidly reflect changes in combustion rate. A new controller based on the H∞ mixed sensitivity is applied as outer loop. By choosing proper weighting function, the MATLAB robust toolbox is used to obtain the H∞ optimal controller. Simulation...
In this paper, we use statistical methods to establish a keystroke biometrics model to authenticate a user's identity by predicting the user's keystroke behavior characteristics. We use HMM for keystroke sequence analysis and time series to compute the state output probability of HMM used in keystroke biometrics model. At the authentication phase, we use modified forward algorithm to compute the users'...
Modern society need a lifelong learning, people need to continue to "recharge" to update their knowledge structure and the capability to keep up with the times. With fast pace of modern life and work pressure, it is difficult to have a full time to learn the knowledge, such as school learning, career training. Mobile learning offers the possibility to solve this problem, learners can be...
This work develops the operational procedures of distributed generation sources (DGSs) in a micro-grid. A micro-grid is a controllable small-scale power system comprised of distributed generation sources (DGSs), storage devices, controllers, and loads. The DGSs may be sustained energy sources or intermittent energy sources. A micro grid consists of different type of DGSs, and its operational procedures...
A novel optimal operation scheme for a cogeneration system that is promoted from an emergency standby system combined with absorption chiller is introduced. The fuel cost, Time-of-use (TOU) tariff and various operational constrains are taken into account when evaluating the electricity cost and peak demand reductions. Based on a two-stage methodology and a modified mixed-integer programming technique,...
Developments in power electronic switches and lowcost actuator based on an electronic control module (ECM) have made it possible to design and implement modern control strategies for a new AC permanent magnet (PM) contactor. Such an attempt has made in this work for a colenoid actuator controlling the AC PM contactor. Certain important issues in design including the making signal generator and its...
The International bulk shipping industry is a perfect competition market so freight rates are volatile, and influenced by unpredictable factors. Better understanding the influences on freight rates can reduce the operational risk to shipping companies. In the paper, we investigate the influence of the Baltic Dry Index (BDI) on the bulk shipping industry from the demand prospective. The paper integrates...
In this paper, six grey prediction methods, which are GM(1,1), RGM+(1,1), RGM-(1,1), FRGM(1,1), NGBM and Tan modify method, have been adopted to predict the number of tourists in Taiwan. A forecast of the number of tourists in Taiwan from 2009 to 2013 has also been conducted to serve as a reference for the tourism industry and government tourism authorities in formulating policies. The data source...
Fast algorithm for path planning is helpful for artificial intelligence. Genetic Algorithm (GA) is a typical evolution method, used widely in path planning. A new GA based on path network is proposed in this paper. Efficient chromosome encoding strategy provided guarantees, and each chromosome represents a feasible path, avoiding the searching circulation. Variation happens at certain positions, making...
Standard CLA-EC which is introduced recently is an evolutionary computing model obtained by combining cellular learning automata (CLA) model and evolutionary computing (EC) model. Some drawbacks of this model are low convergence speed and low accuracy for some optimization problems. In this paper a new version of CLA-EC called Continuous Action Set CLA-EC or in short Continuous CLA-EC is proposed...
In this paper, the transmittance estimation of touch panel decoration film by using quantum neural network (QNN) is proposed. This model is able to catch the complex relationship between the film's transmittance and its possible influencing factors. An artificial intelligent (AI) mechanism for the decision of control parameters of film evaporation is expected to be developed. Based on this AI mechanism,...
Current methods for the accurate diagnosis of osteoarthritis (OA) based on magnetic resonance imaging and enzyme-linked immunosorbent assay method are highly sensitive and specific but require specialised laboratory facilities and highly trained operators to obtain a definitive result. A quartz crystal microbalance (QCM) immunosensor has been developed to detect cartilage oligomeric matrix protein...
Coal or rock electromagnetic emission analysis is a promising method for predicting coal or rock dynamic disasters. Hidden Markov Model (HMM) is applied to this problem in this paper. HMM model is a processing method of dynamic information based on probability, which can reflect both randomicity and potential structure of the object. Model selecting of HMM Bayes Information Criterion is combined with...
This study proposed an off-line method to quantitively analyze the dosimetric impact of daily setup variations on Intensity-modulated radiotherapy (IMRT) when these variations are not corrected due to the lack of image guidance. Series of daily Cone-beam computed tomography (CBCT) images and treatment plan data of a patient with esophageal cancer previously treated using Image-guided radiotherapy...
This paper deals with anisotropic diffusion in image affected by speckle. The classical SRAD can remove speckle efficiently, but blur the low-contrast edges. To solve this problem, a low-contrast edge enhancement method based on anisotropic diffusion for speckle reducing is present. The method extends the SRAD to a matrix anisotropic diffusion, and suppresses the diffusion across edges while encourages...
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