2010 IEEE International Conference on Intelligent Computing and Intelligent Systems

Several applications of G.A have been designed for various areas where we can do optimum scheduling among the various approaches used for the scheduling. Task can be scheduled by first come first serve basis, by time sharing system, by priority bi- chromosomal representation in genetic has been used as a base of the scheduling technique which is incorporated clustering and merging. This paper show... View full abstract»

In video surveillance system, it is a key factor that extracting moving objects accurately to obtain better monitoring effect. The shadows followed with moving objects may change the object shapes or distort the object. Therefore, it become difficult to extract moving objects accurately. In this paper, According to optical characteristics of shadow, a shadow elimination method based on HSV color s... View full abstract»

This article establishes a neural network model simulating human identification based Genetic Algorithm and BP neural network algorithm. According to features of the matter to be identified, the genetic algorithm is adopted to produce these sample groups and determine parameters of the neural network model. The relationship between input and output has been identified during self-adaptive learning... View full abstract»

How to balance each satellite fuel consumption during the period of satellite formation keeping, which can increase the total life span, is of great importance. For the plane circle formation which center was a virtual satellite, a new formation keeping control method was presented considering the fuel equalization constraint. The satellite which remain fuel was the least was chosed to be the refe... View full abstract»

This paper focuses on the hybrid multiple attribute decision making problem with weight information unknown and defines some new operations of 2-tuple linguistic firstly. Then, an optimization approach based on maximizing deviation theory is proposed to determine the weights of the attributes which they can be used to aggregate the estimated values of different attributes into a collective 2-tuple... View full abstract»

Multiply attribute decision making has been a hot research topic in the world in recent year, a new method named grey relation projection with deviation degree in interval number is proposed. The deviation degree of interval numbers is firstly established. Based on the idea of grey relation analysis, grey incidence coefficient matrix is obtained by deviation degree of interval numbers. Furthermore... View full abstract»

The study of crop potential model system based on knowledge model and componentware technology may effectively improve the independence of the model system and quantify crop potential. Firstly, based on the statistical models on crop potential output, the paper utilized knowledge model and componentware method to design the model system of crop potential output under distributed computing network ... View full abstract»

Some fundamental topological characteristics of wireless multihop networks are studied in this paper. A necessary condition of that a wireless multihop network is connected is given out. And a new compute method of connectivity is given out. Suppose that the all nodes are distributed in a bounded square Ω according to Homogenous Poisson Process. A lower bound of the probability that G is connected... View full abstract»

When traditional mathematical statistic method is used to build fertilization model, the structure design and factor choosing largely rely on prior knowledge of experts in the field. Consequently, the result is somewhat casual and subjective. It is very difficult to settle this universal nonlinear and uncertain problems in fertilization. A new network for fuzzy-neural system which is easy to disti... View full abstract»

In the paper an information aspect of corporate governance and strategic management is considered. Relying on analysis of merits and limitations of current developments the concept of performance management information support system and the appropriate modeling approach are proposed. Finally, the possibilities of use of analytical information systems for corporate governance and strategic managem... View full abstract»

In our previous study, the family particle swarm optimization (FPSO) was proposed. In this study, we investigate the direction of the FPSO. To improve particles' abilities of moving to the global optimization position and to accelerate the convergence of FPSO, we defined the direction coefficient and proposed the directional FPSO (d-FPSO). In a family, the flight of a particle referred to the flyi... View full abstract»

When modern aircrafts above water flying over sea in a very low height, the flight height is limited by the sea state. Bad sea state can not only cause the attitude overturning and dropping into the water. In this paper, a impacting water flight mode of Over-sea aircraft is proposed. Based on the analysis on the water-impact force of the aircraft impacting water, how to choose proper configuration... View full abstract»

Identifying the true type of an arbitrary file is very important in information security. Methods based on file extensions or magic numbers can be easily spoofed, while a more reliable way is based on analyzing the file's binary content. We propose an algorithm to generate models for each file type based on analyzing the binary contents of a set of known input files by using n-gram analysis and de... View full abstract»

Hyperspectral data have the characteristics of massive data and high dimensions, which lead lots of difficulties for spectrum analyzing and processing. Especially spectral feature extraction and analysis are the foundation of further processing. In this paper, we discuss a number of spectral data processing algorithms for spectral feature extraction and analysis. The main contribution is that we c... View full abstract»

In multi-motor driving belt conveyor system, variable speed liquid coupling was used for driving motors' power balance control by pushing in or pulling outward the bars to change their inner oil-contended content. And double fuzzy control was adopted in this complex system to reduce fuzzy rules, in which motor currents and belt speed were detected and actions on the bars were output. The simulatio... View full abstract»

In accordance with the defects of available ramble device, such as excessively complicate, single-function, etc., bring forward a ramble device design scheme. This device use running machine and revolving platform to realize freedom-walk, use sphere display and camera to realize panoramic display and the freedom move of the view point. This device solves some defects of traditional ramble device i... View full abstract»

Coalition formation is a key topic on multi-agent systems. As the number of coalition structures is large, it is not allowed to search the whole coalition structure tree exhaustively. So, a partial search which is guaranteed to be within a bound from optimum is interested. A large number of previous work has been done to find the optimal coalition structure in Characteristic Function Games (CFGs),... View full abstract»

In traditional cognitive radio (CR) network, secondary users (SUs) are always assumed to obey the rule of “introducing no interference to the primary users (PUs)”. However, this assumption may be not realistic as the CR devices becoming more and more intelligent nowadays. Light-handed CR is proposed to deal with this problem by introducing “punishment” to illegal CR transmissions. In this network ... View full abstract»

Machine learning refers to systematic design and development of algorithms that allows computers to evolve behaviors based on some realistic data (online or offline). Q-learning, a sub-part of the reinforcement learning is being used world wide for easy learning of mobile robots. Light exploration is one of the important issues for developing green robots. This paper describes the work carried out... View full abstract»

In this paper, we further analyze and prove the stability and convergence of the proposed dynamic system. We get that this network is complete stable, which can be used to solve an associated constrained convex optimization problem. Meanwhile, in order to show the wider domain of the method for stability used in this paper, we propose another neural network to solve a class of degenerate quadratic... View full abstract»

With the popularity of mobile devices, people are now able to access mobile services like website surfing, e-banking, e-shopping and voice-mail etc. anywhere anytime. Most of the services require secure biometric based personal authentication. This paper aims to improve the accuracy of personal authentication in mobile environment by integrating multiple modal biometrics, i.e. face and speech. A s... View full abstract»

This paper introduces an algorithm of mining spatial topology association rules based on Apriori, which is used to mining spatial multilayer transverse association rules from spatial database. This algorithm creates candidate frequent topological itemsets via down-top search strategy as Apriori, which is suitable for mining short spatial topological frequent itemsets. This algorithm compresses a k... View full abstract»

Fed-batch processes are inherently more difficult to characterize than continuous processes due to the variations under different operation stages, drifting and small-sample condition. The classical kernel-based regression (KR) methods, e.g., least squares support vector regression (LSSVR), aim to achieve a universal generalization performance, which may fail in some local regions when applied to ... View full abstract»

A bacteria foraging optimization-based extremum seeking control (ESC) scheme is proposed. In the scheme, the system states are guided to the optimal point by the controller based on the online measurement, and the explicit form of the performance function is not needed. By measuring the performance function value online, a sequence, generated by the bacteria foraging optimization algorithm, steers... View full abstract»

The robust output feedback stabilization problem for uncertain discrete-time Markov jump descriptor systems with time-varying delays is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the discussed system is transformed into a discrete-time Markov jump standard linear system with time-varying delays. Then by discussing the transfor... View full abstract»