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Object recognition in stereo sequences is a simulation of human visual systems on how to analyze and understand various scenes. A pair of stereo sequences is a type of complicated information with huge amount of raw data and features associated with different parameter spaces. Therefore the automatic object recognition in stereo sequences is a difficult and unsolved task challenging many researchers...
The main purpose of this paper is to predict stream-way transition with group method of data handling (GMDH). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by group method of data handling. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge, and sand content of suspended sediment....
In this paper, we propose a real-time forest fire detection algorithm using artificial neural networks based on dynamic characteristics of fire regions segmented from video images. Fire region is obtained from image with the help of threshold values in HSV color space. Area, roundness and contour are computed for fire regions from each 5 continuous frames. The average and mean square deviation of...
Based on wavelet and principal component analysis(PCA), an effective shell texture feature of the coscinodiscus extraction method for classification is proposed in this paper.The feature extraction process involves a normalization of the given image with different sizes followed by shift invariant wavelet transform. The shift invariant feature is computed for subband of wavelet coefficients by PCA...
The paper proposes a scheme for direct torque control(DTC) which is propitious to axially laminated anisotropic (ALA) and PMSM combined rotor synchronous motor., the conventional speed error PI adjustor is substituted for sliding mode controller(SMC). The principle of speed error sliding mode controller is presented, the system is simulated with MATLAB/SIMULINK, results show current and flux linkage...
Intrusion detection is one of network security area of technology main research directions. Data mining technology was applied to network intrusion detection system (NIDS), may automatically discover the new pattern from the massive network data, to reduce the workload of the manual compilation intrusion behavior patterns and normal behavior patterns. This article reviewed the current intrusion detection...
A new association rule algorithm is discussed. It is based on the weighted association rule algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with lower support and high confidence, and these association...
This thesis takes three approaches in strategic sense respectively: Call, put and hold. First of all, it collects daily information and relevant factors which could influence the stock price one day ahead of the actual trading for China Steel stocks. These factors include aspects in the stockpsilas fundamental, share volume, technical performance in addition to Dow Jones average plus processing these...
In this paper, a novel fuzzy particle swarm optimization (NFPSO), in which inertia weight as well as the learning coefficient can be adaptively adjusted according to the control information translated from the fuzzy logic controller (FLC) during the search process, is presented by introducing a two-input and two-output FLC into the canonical particle swarm optimization (CPSO). The effectiveness of...
This thesis elaborated the concept, significance and main strategy of machine learning as well as the basic structure of machine learning system. By combining several basic ideas of main strategies, great effort are laid on introducing several machine learning methods, such as Rote learning, Explanation-based learning, Learning from instruction, Learning by deduction, Learning by analogy and Inductive...
The kaburobo is a kind of stock robot developed by Waseda University written in JAVA. People can finish virtual stock exchanges (VIREAL) on a imagine platform. Players can also make a program to carry on the algorithm simulation and be realized it through the software interface. This paper introduced kaburobopsilas work principle in detail. Based on the research result and through this stock trade...
With simple architecture and faster speed, linear feedback shift register often is selected to produce random number in many applications. However, the random number generated by LFSR cannot meet the demand of unpredictability for secure mechanism. The nonlinearity of genetic algorithm can be used to improve the property of LFSR. We present a novel random number generator by using genetic algorithm...
Firstly, we give the definition of an L-bifuzzy Scott closed subset and prove its related properties, then, we give the definition of an L-bifuzzy Scott co-topological space, study its properties and equivalently characterize it which is a generalization of the Scott co-topological space in the classical topology theory. Finally, we establish the relationships of L-bifuzzy domain, L-bifuzzy lower...
This paper considers a swarm model with a general attraction-repulsion function involving variable communication time lags and an attractant/repellent. It is proved that for Gaussian attractant/repellent profiles the individuals of the swarm with time delays will aggregate and form a cohesive cluster of finite size in a finite time. Moreover, all the swarm individuals will converge to more favorable...
Aiming at the low level of automation of case retrieval in case- based design the retrieval model design used in case- based fixture design was studied in detail. On the analysis of the functional surfaces of work piece, the design requirement is extracted whereby the functional mode of work piece is presented, and the prototype of fixture assembling based on the theory of General-location is constructed...
Business process model and data model play important roles in information system construction. They represent two different perspectives of business knowledge, and are closely related. A trouble to the model quality is the inconsistency between business process model and data model, which can often conduce to interaction errors. While finding such inconsistency is a meaningful problem, it receives...
In view of the deficiency of the traditional methods, a BP neural network model is proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 20 sections in Suzhou river. The evaluation result was compared with that of the RBF neural network method and the reported results in Suzhou river. It indicated that the performance of proposed neural network model is...
With the trend of globalization, increased customer demand and advancement in technology development, firms are experiencing ever intense pressure to collaborate with their trading partners to compete with other supply chains. Firms are seeking to collaborate with their partners at greater extent in the areas such as knowledge management to exploit the potentials of an efficient and effective supply...
Resource management in distributed and heterogeneous databases is an urgent problem nowadays. In this paper, a framework is proposed to give an efficient method to solve this problem. This framework has two main parts. First, the Web service architecture is given by analyzing many metadata standards and databases. By using Web service technology, the ontology-based framework of is proposed to address...
A new method is emerging in the field of high-rise building in recent years. That is water supply of non-negative pressure. For the reasons of used quantity of water cannot be predicted and non-equilibrium and other reasons, the water pressure is changed notable, it cannot meet the requirements of users by water pressure. The digital PID control is the common control method in the process of manufacture...
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