Advanced Materials Research Vols. 562-564

Abstract: Based on research of the traditional phase-shifting profilometry (PSP) method, a tilted measurement system is proposed. The proposed technology makes three constraints of the traditional phase-shifting profilometry measurement system less constrains. The exit pupil of the projecting system and the entrance pupil of the CCD imaging system are not horizontal and not placed at equal height. The optical axis in the CCD imaging system is not necessarily perpendicular with a specific tilting angle to the reference plane. The optical axises of the CCD imaging system and projecting system are not coplanar. The two axises do not intersect with each other. Compared to the traditional phase-shifting profilometry the proposed method offers a flexible way to calculate height distribution.

Abstract: Enhancement on extracting road layer directly and automatically from raster traffic map has become key segment in manufacturing vector maps. This research goal is to improve whole process of recognizing and extracting road layer from raster map, and to make the whole process as a closed feedback system with output measurable, state controllable and recognition sub-process optimally adaptable .The scheme is building an integrated system with its output road layer measurable by selecting two (or more) methods of perfect comparatively identifications with their mechanism complementary and then parallel collecting them as the controlled sub-process objects of the integrated system. Based on approach thought of microscopic identification and macroscopic elimination, the system realized first the road layer initial recognition and last road map level completely to withdraw via some output layers re-clustering and feedback control. In view of the standard municipal transportation map, the path and the region valve value condition has determined. Through re-clustering to the noise the whole map can be completely divided into two parts of road and non-road (region). The feedback re-clustering strategies of recognition for the transportation road networks are based on the core characteristic of obtain road constitution. The convergence of the feedback re-clustering of road layer guarantees the map level optimization.

Abstract: UML is employed to greatly improve the development speed and quality of embedded system and to raise the reusability of the system. The design concepts are shown graphically, which is helpful for the intercommunication of people from different fields. Easy intercommunication is surely beneficial for the development, maintenance of the system and the design of subsequent production line. The paper analyzes the process of applying UMB to the embedded system and the ways of modeling through the analysis of a multiple noise test system.

Abstract: This paper presents a SPWM algorithm based on equivalent area compensation. The algorithm could make the output fundamental wave keeps linear with the modulation wave while the modulation M is more than 1 to extend the linear range and improve the accuracy of the output waveform by pre-shaping modulation function. Experiments show that this algorithm has such advantages as high voltage utilization , small harmonic loss，simple calculation and strong real-time.

Abstract: at present, texture image recognition mostly is identified by using an intelligent algorithm which is based on the feature extraction method in a variety of ways, such as neural network recognization that is based on the wavelet transform or wavelet packet. Steerable pyramid transform is a multidirectional and multi-scale image representation. In this paper, texture recognition algorithm is based on steerable pyramid transform. This method extracts image features which are identified by support vector machine under different methods and resolution, and improves the accuracy of image recognition. Compared with the existing wavelet transform, wavelet packet, ridgelet in the case of noise, the methods' rate of correct identification is superior to other algorithms.

Abstract: Ants System is one bionic algorithm developed in recent years, lacking rigorous theoretical instructions. In this paper, studies on the properties of Ants System are made and several parameters concerned, include: ant initial number m、transfer control parameter q0、importance of visibility β and stigmergy decay parameter , are analyzed, which is of reference significance.

Abstract: This paper proposes a dynamic fuzzy neural network (DFNN) for the tracking control of the underactuated unmanned surface vessels. The dynamic fuzzy neural network control algorithm has the advantages of both fuzzy logical and neural network. The algorithm adjusts the structure and parameters on line at the same time to make the tracking effect of the system being fast and accurate, while it doesn’t need confirm the fuzzy rules and the nodes of hidden layer. The simulation experiments based on the proposed control algorithm are carried out and the simulation results validate its effectiveness.