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Based on the development and application of on-board subsystem test bench for current CTCS-3 system, this paper focuses on the approach of automatically generation of test sequence, takes the existing test sequences of ETCS-2 (European Train Control system level 2) as the train set existing relatively mature test sequence as the training set, to execute association rule mining. The whole data mining...
This paper extends the unlimited capacity location problem with fixed cost in a competitive environment where a firm tends to enter the market competing for exotic products. The demands will increase if a new facility sets into the market. And the demands will be served by both the nearest facilities of the two competitors. A revenue maximization model is presented and a greedy adding and substitution...
Artificial signals possess some certain chronological property-the cyclostationarity, with which the traditional DOA estimation can rarely reach the desired precision, or completely turns to be of no avail. Designated for removing the defect, this paper applies the Cyclic-Music algorithm to the MIMO radar's DOA estimation and verifies its effectiveness. Simulations show that the precision of MIMO...
Differential Evolution (DE) is a numerical optimization approach, which is simple to implement, requires little parameter tuning, and known for remarkable performance. It mainly uses the distance and direction information from the current population to guide its further search. However, it has no mechanism to extract and use global information about the search space. Cloud model is an effective tool...
Cloud estimation of distribution particle swarm optimizer combining PSO and cloud model is introduced. In the algorithm's offspring generation scheme, new particles are generated in the cloud estimation of distribution way or in the PSO way. The innovation of the algorithm is production of cloud particles according to the cloud model theory. The cognitive population obtained during optimization is...
Software protection is a major problem about which companies and programmers are concerned. This paper first analysis' the methods of current software protection, then proposes a method of serial distribution based on RSA algorithm and a protection technology based on self-modifying mechanism. It makes the program difficult to read and reduces the chance of being cracked.
A new multi-objective estimation of distribution algorithm combined with PSO by using a Pareto-based method is proposed and applied in RFID network design. In the algorithm's offspring generation scheme, one part of individuals is sampled in the search space from the constructed probabilistic distribution model and the other part individuals are generated by the velocity-free PSO. A balance parameter...
To solve the premature problem of particle swarm optimization, firstly, the dynamic nonlinear inertia weights are designed which can make particles retain the favorable conditions and converge to the global optima continually; secondly, two kinds of anti-mistake equations are introduced which can make the stagnated particles break away from the local optima and dynamically search the global optima;...
Estimation of distribution algorithm is a new class of evolutionary algorithms. It builds a probability model of promising solutions and samples new individuals from the model. In this paper, we propose a new EDA in which the copula theory is applied to constitute the probabilistic model in the conventional multivariate EDAs. The proposed algorithm employs firstly kernel estimation method to estimate...
Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. In this paper, we introduce a new optimization method inspired from cloud model theory. The innovations of the algorithm are the estimation of good solution regions and new solution production according to the cloud model theory. First, the algorithm uses information obtained...
How to improve the efficiency and performance of job scheduling in grid computing is one of the most important and challenging techniques. This paper tries to give out a novel grid job scheduling model based on agent technology. To make full use of intelligence and adaptability of the agents, dynamic fuzzy knowledge-base and corresponding fuzzy reinforcement learning algorithm are proposed for the...
A no velocity particle swarm optimiser with forgetting factor and center is presented. In the algorithm, the position of a particle is influenced not only by the personal best position and global best position but also by the swarm's center , and a particle has only position without velocity similar to bare bones PSO. The proposed algorithm determined by four real parameters is theoretically analyzed...
As the extension of the least significant bits (LSB) steganographic algorithm, steganographic algorithm embedding in two least-significant bits (Two-LSBs for short) has some characteristics, such as visual imperceptibility, higher capacity and easy realization. A new steganalysis method is introduced to detect the existence of hidden message that are randomly embedded in LSB and the second significant...
There are many multi-type relational datasets, the objects in which are multi-type and interrelated. Many clustering methods for this kind of data have been proposed, but because of the complexity of data and relationships, most algorithms have efficiency and scalability problem. To address this difficulty, in this paper a two-stage clustering algorithm for multi-type relational data (TSMRC) has been...
Quantization index modulation (QIM) has been gaining popularity in the information hiding. The paper analyzes the coefficient histogram of transform domain of stego audio produced by QIM-based hiding, constructs feature vector using distances of bigger values of coefficient histogram, builds feature matrix, presents a blind steganalysis algorithm for QIM-based hiding. The experiments show the algorithm...
Attribute discretization is one of the key issues for the Rough Set theory. First, a method is proposed to compute an initial cut points set. The indistinguishable relation of decision tables did not change, and the number of elements in the initial cut points set was reduced. Then, the cut point information entropy was defined to measure the importance of a cut point. Finally, an attribute discretization...
In many data mining tasks, there is a large supply of unlabeled data but limited labeled data since it is expensive generated. Therefore, a number of semi-supervised clustering algorithms have been proposed, but few of them are specially designed for multi-type relational data. In this paper, a semi-supervised k-means clustering algorithm for multi-type relational data is proposed, which is based...
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