A new approach for image classification based on the color information, shape and texture is presented. In this work, we use the three RGB bands of a color image in RGB model to extract the describing features. All the images in image database are divided into 6 parts. We use the Daubechies 4 wavelet transform and first order color moments to obtain the necessary information from each part of the image. The proposed image classification system is based on Back propagation neural network with one hidden layer. Color moments and wavelet decomposition coefficients from each part of the image are used as an input vector of neural network. 150 color images of aircrafts were used for training and 250 for testing. The best efficiency of 98% was obtained for training set, and 90% for the testing set.
This paper investigates the feasibility of applying genetic algorithms to solve optimization problems that are implemented entirely in reconfgurable hardware. The paper highlights the pe$ormance/design space trade-offs that must be understood to effectively implement a standard genetic algorithm within a modem Field Programmable Gate Array, FPGA, reconfgurable hardware environment and presents a case-study where this stochastic search technique is applied to standard test-case problems taken from the technical literature. In this research, the targeted FPGA-based platform and high-level design environment was the Starbridge Hypercomputing platform, which incorporates multiple Xilinx Virtex II FPGAs, and the Viva TM graphical hardware description language.
We derive some results on determining the exponential of a derivative squared and apply it to several integrals including a communication theory integral. Using this technique, one can, in principle, compute the expected value of any function whose variables are Gaussian distributed. Some generalizations to defining functions defined as operators acting on other functions is also briefly considered
In this paper we use the Nash game approach to solve a mixed H2 and H-infinite feedback control problem. The basic idea is: using Nash type index as our H2 and H-infinite performance functional, we then are able to obtain the necessary and sufficient conditions for the existence of linear memoryless feedback gain. By solving a set of coupled algebraic matrix equations, we can get the required feedback control. Both continuous and discrete time system are considered.
This paper presents an overview of the main categories of malicious programs known as Trojan horses, viruses, bacteria, worms, and logic bombs. The focus is on their general behavior and the properties seen in their implementations rather than the ultimate effects or their intended destructive behavior. Possible preventive measures are also discussed.< >
The authors present the implementation of a power-system state estimator on a personal computer. The method uses a weighted-least-squares (WLS) algorithm to estimate the system unknowns. The program was developed in two parts. Part one uses only the real and reactive line flows as measurements. Part two adds the measurement of bus voltage magnitudes, bus real and reactive injected power, and line-current magnitudes. The convergence rates of these two methods are compared.<>
The authors describe an analysis of multistage interconnection networks with unique interconnection paths where queues are placed in the b*b crossbar switches from which the networks are constructed. An approximate model of the network's behavior is developed. From this model, communication delay time and network throughput are derived. In addition, using the model, queue lengths may be chosen so that the network satisfies certain performance requirements. 3 references.
This paper considers the problem of designing certain structurally constrained optimal regulators for linear systems subjected to additive white process noise and measurement noise. Three types of controller structures are considered, using direct output feedback, prespecified time constant filters, and optimal dynamic compensators. Necessary conditions are obtained for minimizing quadratic performance criteria. The techniques are demonstrated by application to a helicopter/slung load system, and a flexible space station.
A great deal of attention has been given to the numerical solution of the Lyapunov equation. A useful classification of the variety of solution techniques are the groupings of direct, transformation, and iterative methods. The paper summarizes those methods that are at least partly favorable numerically, giving special attention to two criteria: exploitation of a general sparse system matrix structure and efficiency in resolving the governing linear matrix equation for different matrices. An iterative decoupling solution method is proposed as a promising approach for solving large-scale Lyapunov equation when the system matrix exhibits a general sparse structure. A Fortran computer program that realizes the iterative decoupling algorithm is also discussed.
