Advanced Materials Research Vol. 662

Abstract: Through analysis and research about Baptista and Alvarez chaotic encryption algorithm, the author points out that the Baptisata algorithm is not high efficiency in practical application, the cryptograph distribution is easy to be attacked by known plaintext; Alvarez algorithm can be deducted key information through the tent map and there is hidden information leakage. The more complex chaotic mapping can be used to instead of tent map, but scheme are not safe even after the changing , there are still many problems, this reflects that the use of chaotic mapping to achieve information security still has a long way to go.

Abstract: FastCAM software integrates drawing, nesting and programming to a package for the CNC cutting machine to cut flat steel, specifically cut by plasma, flame, laser and water knife, etc. Software operating procedure is introduced, and an example analyzed shows that cutting efficiency, material rate and quality of products can be improved, if the operator has professional practice skill on FastCAM software.

Abstract: Abstract. Currently the hardware design of adder and multiplier is quite mature, the principle of which is to map addition or multiplication operations into a series of logic computations. While the various optimization approaches have reached their limits, and hardware divider cannot be achieved still. The ancient Chinese abacus operates based on pithy formula, fulfilling kinds of computations including division fast and accurately. Yet the essence of it is not fully exploited. In this study, the hardware adder in view of the principle of abacus algorithm and operation prototype has been designed, verified on FPGA and superior to existing adders that are fully optimized. This offers broad research space to further optimize hardware multiplier or even achieve hardware divider.

Abstract: This paper addresses a new design scheme of location and tracking system which can be used suitably by special crowd .The architecture and working theory of this system is introduced in details. The system uses the ARM microprocessor S3C240 as a control unit to combine with GPS and GSM modules.RFID and GPS technologies are combined to achieve positioning in this design, which can realize location and tracking both inside and outside of the designated area. It has the characteristics of rapidity, real-time, portabilty, accuracy etc.

Abstract: According to the ceramic tile color difference classification detection problem, this paper presents a method for color difference based on Histogram statistical values. First, the color image in RGB color space is converted to HSI color space, median filter was selected for image preprocessing. Then, the ceramic samples HSI Histogram statistical of each channel was calculated respectively. Take the Histogram statistical as the color difference classification character value. For real timerequirement, using minimum distance classifier as classification basis. Compared with the S, I channel, the results showed that adopted the H channel Histogram statistical value as feature vector has higher accuracy for ceramic tile color difference classification.

Abstract: The improve hybrid genetic algorithms is proposed using the notion of species for solving rectangle-packing problems.This can control the rate of the variation,which makes result to the best.The rectangle-packing is irregular objects use them of the best rectangle to replace.The experiment results show hybrid genetic algorithms is kind of efficient and reliable optimization arithmetic and it has determinate applied value.

Abstract: Recent studies have showed that machine learning techniques are advantageous to statistical models for medicine database classification, such as SVM. In this study, we discuss the applications of the support vector machine with mixture of kernel (SVM-MK) to design a classification system. Differing from the standard SVM, the SVM-MK uses the 1-norm based object function and adopts the convex combinations of single feature basic kernels. Only a linear programming problem needs to be resolved and it greatly reduces the computational costs. More important, it is a transparent model and the optimal feature subset can be obtained automatically. Three UCI databases are used to demonstrate the good performance of the SVM- MK.

Abstract: We consider the role of multiscale prior information of the object in the form of a Bayesian framework to address the posterior inference problem. The multiscale prior is implicitly estimated from the given image. We show how the multiscale prior effectively exploits the available image data for hierarchical modeling and exploiting posterior inference scheme to determine the posterior likelihood at each iteration with definite number of iteration steps. Extensive experiments show that this method achieves robust multiscale image segmentation results in the presence of dynamic Gaussian noises.

Abstract: Vehicle dynamic safety warning system based on data fusion is researched and designed in this paper. Dynamic information of vehicle, road and environment can be collected in real time. By analyzing and processing these data, active safety warning information is achieved for individual vehicle on different work condition. Safety parameters of vehicle and road condition are detected. Warning information is transferred by wireless network in real time. Research work in this paper is applied to road traffic control area. This vehicle warning system is of value to removing incipient fault of running vehicle, improving reliability, rational maintaining and proper inspection.

Abstract: On the basis of intuitionistic fuzzy sets,this paper is to study multiple attribute group decision.It gives the dominance between two intuitionistic fuzzy sets first,and studied some properties. Then,on the basis of dominance,Multiple attribute group decision making based on intuitionistic fuzzy sets is proposed. Finally,an example is used to illustrate the feasibility and effectiveness of the proposed approach.