Applied Mechanics and Materials Vol. 722

Abstract: Automatic drawing algorithm has been one of the hotspot in research of drawing. So far there is no completely effective method. Force-directed graph drawing algorithm is based on physics model, makes the drawing problem into force for solving the problem in physics, then into unconstrained optimization for solving the problem in mathematics. Its advantage is based on people familiar with the physical model, and the principle is easy to understand. We can draw large-scale graphics with symmetrical and beautiful appearance through certain set and the improvement. At the advantages of Force-directed algorithm, this paper presents force-directed algorithm can be applied to automatic drawing in scheduling network, and explores the image style in a more intuitive graphical way to show the connection between scheduling network vertices.

Abstract: Elliptical head is an important standard part of the separation tower equipment. It can not be generated by tensile method, rotation method, because the rotation axis can not pass region. This paper introduces the ObjectARX programming environment. It describes how to build the menu and the dialog box. ObjectARX is a secondary development tool of AutoCAD. With its function and its mechanical drawing once learned, four arcs of ellipse can be used to build 3d modeling of head.of tower equipment. The ObjectARX programming technology is applied to develop AutoCAD, making it more convenient to darw the professional 3d graphics.

Abstract: This paper investigates the estimation of optical amplifiers based on an optoelectronic equivalent model. In order to improve the estimation performance with the limited information, a linear filter is adopted. The limited information can be treated as a switch that acts in a random manner. As the switch is open, the corresponding output is held at the previous value. The estimation of optical amplifiers taking into account the limited information can give out the better results. The results demonstrate the effectiveness and applicability.

Abstract: Behavior analysis is the advanced stage in intelligence surveillance. In this paper, we first parameterize the scene knowledge using Hough Transform and Polynomial fitting to boundary of road. The algorithm of Self-Adaptive Background Subtraction was cited in order to segment the moving objects; the features of improved Hu moment were used for classification; and the cordon was cited to realize the behavior analysis of moving objects. The experimental results show that our algorithm is effective.

Abstract: Cylindricity is a key index of precision of mechanical parts. For the convenience of computer programming and improving the robust of algorithm, the method of evaluation of cylindricity geometrical error base on computational geometry is presented in this paper. The transformation of coordinates in evaluation of geometrical error is discussed. Adopting the self-adapting variation, the mathematic model and criteria for evaluating of minimum zone of cylindricity are demonstrated in detail. The procedure of algorithm is given. Finally, a case study is given to validate the proposed method.

Abstract: Using wavelet packet neural network method which is consist of wavelet packet and BP neural network to diagnose large rotors by vibration signal .Firstly , according to the spectrum characteristic of large rotors’ common vibration fault ,using the improved wavelet packet method to compute the energy of the spectrum that can reflect the fault information .And then make the feature vector as the input to establish a model of improved wavelet packet neural network for fault diagnosis . Collect the data of five working conditions from the test bench , establish a improved wavelet packet neural network model, and then use the model to diagnose fault. The experimental results show that this method improves the accuracy obviously and calculate fast.

Abstract: In this paper, the limitations of the direct contact measurement of yarn tension in domestic and foreign are analyzed by use of yarn balloon theory and digital image processing technology. A new method is established for measuring the dynamic tension of yarn ------non-contact measurement. The mathematical model is established according to the theory that yarn tension is relent to yarn balloon through the research on the dynamics of yarn balloon. In human-computer interaction, image enhancement is realized by using the gray scale linear transformation curve, image segmentation is achieved by using Canny edge detection operator and the edge of the image is extracted by using mathematical morphology and borders tracking algorithm accurately from yarn balloon which is taken by CCD immediately, finally the pattern characteristic parameters of the yarn balloon are extracted and the yarn tension is measured.

Abstract: Because of the bias, scaling factors and non-orthogonality, it is difficult for the three-axis magnetometer to be used directly to measure the magnetic field magnitude. It is imperative that the magnetometer is properly calibrated for sensor errors. In this paper, we present a method based on Genetic Algorithm that can be used to estimate calibration model parameters. The algorithm put the parameters of the calibration model as the evolutionary population; According to the fitness, the poor individual is eliminated step by step and the optimal individual is obtained after crossing and mutation; The optimal parameter estimation corresponding to optimal individuals is achieved. It is effective for Genetic Algorithm to estimate parameters of calibration model overcoming the correlation between the parameters. The simulation and experiment show that the method based on Genetic Algorithm can converge steadily and can achieve high estimation precision.

Abstract: With the development of modern wireless communication technology, the driver assist driving system gets more and more attention from people, because it could receives many real-time information, such as traffic lights information, road information and so on. The arterial velocity planning algorithm based on traffic lights information makes vehicle more economically and efficiently, because it could help driver decrease the acceleration/ deceleration pattern and idling time. This paper creates 3 arterial velocity planning algorithms by analyzing the vehicle driving process, and the acceleration/deceleration parameters and driving time of these three algorithms are optimized. When the vehicle is driving, the arterial velocity planning algorithm gives the dynamic speed advice to the driver through driver assist driving system, ensures that the vehicle will cross the traffic light without coming to a stop. The results show that the fuel consumption savings for vehicles with arterial velocity planning is above 11% on a relatively smooth arterial road.

Abstract: In order to solve multiple attribute group decision making problems with multi-granularity uncertain linguistic assessment information, where the information of attribute weights are incomplete, a group decision making method based on projection and dominance degree is proposed. Firstly, the uncertain linguistic evaluation matrices with multi-granularity are transformed to two-tuple decision matrices according to the continuous interval two-tuple ordered weighted harmonic (ITC-OWH) operator. By using projection method, a goal programming model is set up to determine the attribute weights vector of individual decision maker. Then, integrative attribute dominance degree between pairwise comparisons of arbitrary alternatives are computed, a group integrative dominance degree matrix is obtained based on integrative dominance degree matrices and expert weight vector. The priority-time matrix is given to calculate the general priority time of alternatives, consequently, the rank result of alternatives can be determined.