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Based on traditional methods, according with practical application conditions, and the special structure of Quadtree, this paper gives a practical method of paths planning for the further expansion of Quadtree in the field of paths planning, except for segmentation obstacles. The experimental and simulation results demonstrate that the algorithm described in the text could be able to find all the...
This paper uses the agent-based modeling approach to construct an artificial stock market with the continuous double auction mechanism. In this market, several psychological effects that described in behavioral finance (such as anchoring effect, mental accounting and disposition effect), are introduced into the decision process of agent to illustrate the impact of agent's psychological factors. Base...
Nowadays, many organizations face the problem of how to accessing the legacy data by means of flexible mechanism. As a powerful and efficient solution to this problem, ontology-based data access (OBDA) technology enables people to utilize data from heterogeneous sources through a well-defined ontology. However, under the dynamic environment, the ontology which acts as concept view in an OBDA application...
This paper presents a new model for the remotely sensed data processing task scheduling problem - limited concentration model based on analysis of existing models of this problem. This model consists of two parts: task dispensation of schedule manager and local scheduling. A framework is presented for solving this problem. At last, experiments results show the effectiveness of our approach.
This paper studies an actual and new setting of cost-sensitive learning, i.e., combining test data with medical history under multiple-scale cost constraints. With a new cost structure, an attribute selection strategy is incorporated to a lazy decision tree induction, so as to minimize the total cost on focused scale when medical history is dynamically utilized to current test tasks. Initial experiments...
Direct search method has been widely used for solving single-objective optimization problems. In this paper, a proposal to extend the direct search method “compass search” to deal with multi-objective optimization problems, which we called as MOCS, is introduced. The concept of Pareto dominance is used to generate the Pareto optimal solutions. To handle constraints, different weights are calculated...
We propose an on-line signature verification method based on finite impulse response(FIR) system characterizing velocity and direction change of barycenter trajectory. First, the discrete cosine transforms (DCTs) of the characteristics are used to reduce fluctuation and extract the feature of handwriting in signing process. Then the signature verification system is realized by the three FIR subsystems...
The bioadhesive drug delivery systems using starch-based colon-targeted drug carriers have drawn great attention in the field of pharmaceutical science in resent years. A Neural Network (NN) prediction model was developed based on hybrid method of improved genetic algorithms (GA) and conjugate gradient algorithm for backpropagation (GDBP) NN according to key factors that affect releasing behaviors...
Grouping batch and sorting order (GBSO) for smelting charges is a key cycle in refined copper strip producing. To improve its scientific degree, optimization problem of GBSO for smelting charges in refined copper strip producing by artificial immune algorithm (AIA) is studied. The multi-objective optimization model for GBSO of smelting charges is established with the objectives which includes minimizing...
FTIR micro-spectroscopic imaging analysis is a new and potential tool for subtle changes detection in biochemical composition. The excellent performance and limitation of FTIR technique are briefly discussed in this paper. In order to explore an automatic and efficacious method for chemical composition distinction, principal component analysis (PCA) and least square support vector machine (LS-SVM)...
Soil dynamic is one of hot topic in geotechnical seismic and earthquake engineering field in recent years. The problem of dynamic characteristics of Aeolian soil has become a pressing issue to solve because of the earthquakes happen frequently and traffic volume increase gradually in Aeolian soil area. The paper summariZe the static achievements of the Aeolian soil and dynamic characteristics such...
Method of information process based on test mining and segmentation technology is provided, which uses the relative principles in the filed of test mining and word segmentation to preprocess and transform the information from internet. The problem of large data dimension caused by the redundancy characters extracted from the test is settled and it improves the performance of the CE arithmetic. Finally,...
Based on nonmonotone Armijo line search, the paper proposes a new nonmonotone line search and investigates a memory gradient method with this line search. Its global convergence is also proved under some mild conditions. As compared with nonmonotone Armijo rule, the new nonmonotone line search can effectively reduce the function evaluations by choosing a larger accepted stepsize at each iteration...
Face recognition involves computer recognition of personal identity based on geometric or statistical features derived from face images. Even though humans can detect and identify faces in a scene with little or no effort, getting a computer to accomplish such objectives is very challenging. Researchers have been always investigating simple, accurate, and convenient approach to achieve face recognition...
With the development of information science and modern technology, it becomes more important about how to protect privacy information. In this paper, a novel privacy-preserving support vector machine (SVM) classifier is put forward for arbitrarily partitioned data. The proposed SVM classifier, which is public but does not reveal the privately-held data, has accuracy comparable to that of an ordinary...
Micro-grid plays an important role in the development of Smart Grid. This paper analyzing the existing control method proposed a hybrid operation control method for micro-grid. It realize this control method via multi-Agent technology; Multi-Agent technology represents a multi-intelligent collection with prosperities of logical analysis, independent learning, decision-making. The paper presents the...
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