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In this paper, we propose a nonparametric grammar based framework for analyzing trajectories, aiming to discover the motion pattern of objects and assist human understanding. The framework works in three steps. 1) Raw trajectories are smoothed to eliminate noise, and then, points and segments are sampled as primitive units. 2) The primitive units are clustered based on DPM and HDP-HMM, in order to...
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...
This paper proposes a novel distributed agent model for network security evaluation. The method, which uses antibody concentration to quantitatively describe the degree of intrusion danger, is demonstrated. A new network security evaluation method using antibody concentration to quantitatively analyze the degree of intrusion danger level is presented. The method which uses antibody concentration to...
We consider the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. An explicit expression of the solution of this kernel scheme is derived. Then we provide a sample error with a decay of O(1/√m) and estimate the approximation error in terms of some kind of K-functional.
Using a new and elegant reduction approach we derive a lower bound of quantum complexity for the approximation of imbeddings from anisotropic Sobolev classes B(Wpr([0,1]d )) to anisotropic Sobolev space (Wps([0,1]d ) for all 1 ≥ p, q ≤ ∞ . When p≥q we show this bound is optimal by deriving the matching upper bound. In this case the quantum algorithms are not significantly better than the classical...
The complexity of blast furnace iron-making process control can be interpreted from two aspects. From the aspect of technique, it is composed of status diagnosis of blast furnace, predictive control of silicon content and an organic combination of them. From the aspect of control theory, it is no longer the traditional direct feedback control, but intelligent control based on inference and optimization...
Batch chemical processes have become significant in chemical manufacturing. Recently, economy globalization has resulted in growing worldwide competitions in traditional chemical process industry. In order to increase competition, reduce production costs and meet safety requirements, it is necessary to implement varies optimization methods and advanced control strategies. The goal of this paper is...
Terrain Aided Navigation (TAN) system has been widely used in aerial and underwater vehicles for its autonomy, anti-electromagnetic interference (anti-EMI) and all-weather advantages. TAN system is also a multi-sensor system usually consists of radar altimeter, barometric altimeter, laser scanner, echo sounder, inertial navigation system (INS) and so on. It fuses the information from different sensors...
The leakage and diffusion accident of inflammable and explosive toxic gas has become a serious problem in the field of environment and security. Based on the optimized three-dimensional finite element model (FEM3) and the actual condition in complex and sealed space, a three-dimensional simulation system is developed to simulate the dynamic process of leakage and diffusion of gas in complex and sealed...
Network fault management is an important part of network management. The paper applies immunological principles and agent technology to the network fault diagnosis. The structure of an immune agent is developed, the network fault diagnosis system is built, and the immune agent workflow is described. To verify the feasibility of the system, some simulations are carried out, and Experimental results...
Modeling and simulation of intracellular biochemical networks is a critical method to study the biological system behaviors. The phenomena of self organization play a crucial role in biological systems and Agent-based modeling (ABM) has been widely viewed as a computational framework to study the complex systems. Agent-based modeling approach has tremendous potential in advancing studying the phenomena...
The key to guarantee the filter better performance is the accurateness and fast detection of harmonic components of current in power system. The method of reactive current detection and simulation verification based on instantaneous reactive power theory was introduced in this paper. The corresponding design project is given according to the key part in the detection of harmonics. Simulink is applied...
Performance index of minimal time with constrains of successful intercepting on intercepting problem of robot soccer game is built and it is changed into a programming problem with equality constrains to be solved. When acceleration of robot cart is considered, the model is changed in detailed and it show that the model is easy to expanded and corrected. Solving the models above using MATLAB and it...
We develop a fast alternative to a complex finite element analysis (FEA) model of cylinder valve in hydrogen fuel cell car based on support vector machine (SVM). The inputs of model are shape parameters of core and plunger of the valve, and the output is the electromagnetic force on the plunger. Uniform Design method is used in the selection of modeling samples. Theoretical and simulation analysis...
MapReduce is a parallel programming model, and used to handle large datasets. The MapReduce program can be automatically concurrent executed in large-scale commodity machines. We proposed an improved MapReduce programming model-Pipelined-MapReduce, to solve the data intensive of information retrieval problems. Pipelined-MapReduce allows data transfer by pipeline between the operations, expanding the...
In order to discover the logical errors of C4ISR capability requirements in the early stage, a kind of logic validation method of C4ISR capability requirements based on DODAF2.0 is proposed in the paper. Firstly, the architecture method to analyze the capability requirements is adopted and the UML to model the C4ISR capability requirements is recommended in the paper because of the Industry Standards...
Aiming at the difficulty of tank unit combat formation recognition in virtual simulation training, the recognition method based on BP neural network is put forward. After analyzing the definition and character of the tank unit combat formation, the recognition strategy for tank unit formation is put forward. Then the recognition model based on BP neural network is built. In order to get plentiful...
This model can help the enterprises to carry out multi-dimensional analysis on the capability of their senior staffs, which is based on B/S pattern information system with the core of the task. It takes the subordinate relationship between all sections and their staffs, the leaderships among the leaders and their team members as the bond, and based on the tree-based decomposition, the evaluation and...
The current injection method is brought forward for test the missiles, guided bombs and rockets EMV according GJB1389A-2005 in this paper. The formula for calculation the frequency limit to the method is given. The method is verified by theoretical analysis and simulation. The method has low cost test facilities, test process is simple, so it is very suit for the ordnance EME test.
Based on driving simulator and optical illusion, a new deceleration marking was proposed. The independent road marking deceleration marking simulation and optimization platform was implanted to the driving simulator. By using the virtual reality simulation technology in computer to generate the three-dimensional scene of the road deceleration markings, the computer interacted with the participants...
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