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As an effective decision tool, influence diagram has been widely used in many fields. However, its traditional building method needs experts or domain knowledge to identify the dependence relationship between variables in original dataset. When data set increased, its corresponding influence diagram might not suitable for it any more. A new influence diagram may need to be built from very beginning...
Capacity is the basis of the railway operation management. From the angel of the timetable planning, this paper analyses the scheduled waiting time for the route combined with the character of the market demand as an object, under the condition of the fixed automatic blocking system without the timetable. In the course of the analysis and calculation, it regards procedure of train waiting and acceptance...
With the increasing of the power from KW to MW for wind turbines, effective cooling measures are introduced for keeping the system operating within the allowable temperature. Taking a 1mw wind turbine as an example, this paper introduces the structural features and the ventilation way of it, the CFD(Computational Fluid Dynamics) software is adopted to analyze the fluid field and the temperature field...
During soft rock roadway construction, the deformation of surrounding rocks is a significant factor in stability evaluation. However, the deformation still has long duration, obvious nonlinear effect after the soft rock roadway construction accomplishment. Certainly, this potential stability change will make the maintenance cost increased in the future. We propose a Time Series Prediction model based...
Reasonable choice of logistics center location, has important significance, for optimizing the regional industrial layout, and promoting the development of modern logistics industry. For the problems such as the logistics center location by many influence factors, the decision-making and evaluation of location program are complex, this paper use the rough sets method to study. first, analyze the influence...
In this paper, the car sales prediction model is established by using Support Vector Regression (SVR) combined with Particles Swarm Optimization algorithm (PSO-SVR). In this model, PSO Algorithm is used to optimize the 3 parameter used in Support Vector Regression. PSO algorithm not only has a strong global search capability, but also solved the problem of over-fitting. Moreover, Mean Absolute Percentage...
Up to now, many condition diagnosis methods based on the traditional artificial intelligence, such as neural networks (NN), genetic algorithms (GA), etc., have been proposed in the field of condition diagnosis for rotating machinery. These methods depend on the assumption that the number of samples tends to infinity, and also require a large amount of training samples and highly sensitive symptom...
In this paper, we present a consumption pattern recognition system based on SVM. It can produce an optimized classification pattern using SVM algorithm and use the pattern to predict consumer behaviors. In this system, three dimension reduction methods including Principal Component Analysis (PCA), correlation analysis and data cubes are applied to reduce dimension of features and two training methods...
In this paper, we investigate convergence of the Euler scheme to a stochastic competitive age-structured population system in Hilbert space, which is influenced by random fluctuations in the environment and interactions between species. By using Burkholder-Davis-Gundy's inequality, Itô's formula and some special inequalities, numerical solutions based on the Euler scheme will converge to the true...
Data fusion of sensors is a useful technique to obtain more comprehensive information about the monitoring targets in wireless sensor networks (WSN). This paper proposes a data fusion algorithm based on fuzzy logic theory to monitor a parking space in the parking lot using magnetic sensors and point out the probability of occupancy of the corresponding parking space. Simulation results show that our...
In real world classification tasks, the original instances are represented by raw features. Usually domain related algorithms are needed to extract discriminative features. But the algorithms selection and additional parameters tuning are difficult for people with little domain knowledge and experience. In this paper, a new machine learning framework called "decompose learning" is proposed...
On the basis of the angle of repose model for uniform sediment, the pickup probability of uniform sediment is theoretically studied. By comparing present model with experimental data, the unknown function in the pickup probability is derived. Once the incipient probability is built, the incipient velocity can be determined. Finally, the formula of incipient velocity has been tested against a wide...
A prototype system STEFS (Security and Trusted Enhanced File System) of dependability based on trusted computing platform, which can enhanced the security of the file system in Linux, is presented in this paper. Integrating Linux kernel security mechanism and security storage function of TPM (Trusted Platform Module) efficiently, STEFS provides three dynamic loading modules which are not only file...
Detection of navel orange canker by hyper spectral imaging technique was proposed in this work. Navel orange was adopted as the experimental object. The hyper spectral images of navel oranges were collected between 400 nm and 1000 nm wavelength. Principal component analysis (PCA) was performed to determine optical wavelength (672nm). The feature images under 672nm were selected to establish region...
This paper extends the well-known technique of dynamic slicing to State chart specifications of reactive systems. Dynamic slicing is well known in the domain of sequential transformational programs and has been found to be useful in understanding, analysis and verification. The classical definition of dynamic slicing is unsuitable for State chart specifications. In this paper, we firstly formally...
Based on virtual prototyping technology, and considering the influence of friction on impact load, the dynamics model of in volute gear meshing is established by ADAMS. The simulation analysis is realized. The results of simulation analysis are basically in conformity with that of the theoretic calculation. The variation trend and reaction of the friction coefficient and relative sliding speed between...
Nowadays we are surrounded by colorful images and image processing has become an important subject. We have to carry on all kinds of implementations such as image classification, image recognition, image searching and so on. However, direct operation to those images is difficult because of the features -- nonlinear, high dimensionality, large quantity. To reduce the dimensionality and remain original...
Multiplied by constant on modulo 2n operation, a code link, is first used in the cipher algorithm Sosemanuk, which has been selected in the eSTREAM final portfolio. This code link is recognized as a permutation with strong nonlinear property and fine realization efficiency. But there is no published paper analyzed it with differential cryptanalysis. In this paper, the differential property of the...
In order to improve the correct rate of transformer fault diagnosis based on three-ratio method of traditional dissolved gas analysis (DGA), a novel intelligent transformer fault diagnosis method based on both DGA and probabilistic neural network (PNN) was proposed. In this fault diagnosis method, it takes three characteristic values of the improved three-ratio method as its inputs and five transformer...
Fault diagnosis of transformer in power system is studied in this paper. Considering the excellent performances of Random Forest (RF) in pattern recognition, we apply RF to construct a diagnosis model to predict the situation of transformer. The experiments of fault diagnosis for some real transformers show that RF obtains a better result in prediction accuracy and stability than traditional Back...
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