Advanced Materials Research Vol. 658

Abstract: The tidal motion of the ocean water through the ambient magnetic field, generates secondary electric and magnetic field. The magnetic fields generated by the diurnal (O1) ocean flow can be clearly detected. We simulate the magnetic signals for tidal constituents –diurnal (O1) tides. The idea of exploiting tidal signals for EM studies of the Earth is not new, but so far it was used only for interpretation of inland and transoceanic magnetic field data due to O1. Emphasis in this work is made on a discussion of sea bottom electric field of the same origin.

Abstract: An approach in obtaining the load curve and load errors of long span and heavy load crossbeam is proposed in this paper. The load curve is achieved based on the finite element analysis method, and a method for load errors modeling is constructed based on the load curve and geometric relation. This method can provide a theoretical basis for the machine precision modeling based on multi-body dynamics.

Abstract: In this paper, the nonlinear relationship between the bending moment and curvature of non-bonded flexible pipes was studied. It was found that the relation was a function of internal and external pressure, axial force, and bending moment load. The model used in this paper took into consideration of the flexural, tensile and torsional strength of layers as well as the frictions between them. Symmetrical axial load was first applied, and then the bending load. Due to friction, the response of the unbonded flexible pipes is hysteretic to the loads. In conclusion, the response of unbonded flexible pipes are both related to its own structural properties and external loads.Coupling factors of different conditions should also be considered.

Abstract: The abnormal periodic noise from the slider-crank massager was complained by many consumers when it was under unilateral massage. By anglicizing the worm non-working surface stained with marking compound, the reason of the abnormal periodic noise which stemming from repeated mating of non-normal mating surfaces of the worm gear mechanism is founded. In order to solve the problem the overrunning clutch is used as it’s beyond separation functions. When the force is loaded to passive wheel, the clutch is linked; while the load becomes kinetic energy, the power will be separated immediately. The characteristic determines that the overrunning clutch is one of the best choices to separate the load on the slider-crank massager. And the results of the experiment indicate that the method has a significant effect to reduce noise. It also has a practical significance to the common problems of the mechanism and to the related scientific problems.

Abstract: Network booting is the process of booting a computer from a network rather than a local drive. In this paper, a novel intelligent network booting protocol is proposed. It extracts all the states of the clients from their booting requests to their normal operations, which is depicted with a finite state machine. Based on the protocol, an intelligent network booting system is implemented with distributed modules, where the maintenance of the network booting system is automated, such as the preparation of the virtual booting partition for the client, loading and passing the booting parameters, and so on. Experiments are carried out to prove the efficiency of the network booting system.

Abstract: Variable deadband sampling is used in wireless networked control systems to reduce the network message. In this paper the T-S fuzzy PID with variable deadband sampling is designed to optimize the quality of network services and the quality of control performance in closed control loop. Furthermore, Kalman filtering algorithms dealing with variable deadband sampling are considered in the paper. The comparison results of proposed method and PID with period sampling are presented based on the extensive simulations by using TrueTime 1.5 toolbox for Matlab/simulink, and the simulation results verify the effectiveness of the proposed method.

Abstract: Image classification of remote sensing data is an important topic and long-term tasks in applications [1]. Markov random field (MRF) has more advantages in processing contextual information [2]. Bayesian approach enables the incorporation of prior model and likelihood distribution, this paper has formulated a Bayesian-MRF classification model based on MAP-ICM framework. It uses Potts model in label field and assume Gaussian distribution in observation field. According to maximum a posteriori (MAP) criterion, each new classified label can be obtained by the minimum of energy using Iterated Conditional Modes (ICM) algorithm. Finally, classification tasks are carried out by Bayesian-MRF classification model. Experimental results show that: (1) Clique potential parameters affect classification greatly. When it is 0.5, the classification accuracy reaches maximum with the best classification result for study area of Dali Erhai Lake basin using landsat TM data. (2) Bayesian MRF model have obvious advantages in classification for neighbourhood pixels so that it can separate Shadow class from Water class because the Shadow in mountain areas is very similar to Water in spectrum. In this case study, the best classification accuracy reaches 95.8%. The approaches and results will have important reference value for applications such as land use/cover classification, environment/ecological monitoring etc.

Abstract: For highly reliable software, it is expensive, time consuming or even infeasible to perform reliability testing by traditional Bayesian-based software reliability demonstration testing plan. Meanwhile, when determining the prior distribution function, people only consider conjugate prior distribution in order to realize the calculation in mathematics but ignores the characteristics of highly reliable software. To address this problem, by introducing the construction method of multilayer prior distribution function into the software reliability demonstration testing plan, this paper put forward a new Bayesian software reliability demonstration testing plan with zero-failure data, which can be used for highly reliable software reliability demonstration testing. Finally through examples, it illustrated the superiority of the method.

Abstract: A novel vector field transform is proposed for digital images, which is inspired by the electro-static analogy. By introducing the factor of gray-scale difference into the repulsion vector between image points, the diffusing vector field is obtained by the transform. A new image segmentation method is then presented based on the diffusing vector field. The experimental results have proved the method’s effectiveness.

Abstract: A lot of blind sidewalks have been built for the blind people to facilitate their life. In current society, however, it is such a serious phenomenon that the blind sidewalk is occupied by a variety of stuff. With the development of science and technology, some applications served as helpers for the blind people have been developing until recent year. This paper mainly proposes an approach on helping blind people walk on the blind sidewalk. Histogram-based detection methods are used for obstacles and sidewalk recognition in this paper, and methods of image similarity matching are also developed for the detection of obstacles on the blind sidewalk. We processed the images extracted from video streams by the methods presented above and then conducted a couple of experiments to exam the accuracy of this system.