Applied Mechanics and Materials Vols. 48-49

Abstract: Service cloud provides a platform to operate different kinds of services through Internet. Service monitoring is a crucial issue for the guaranteed service delivery in service cloud. However, most monitoring approaches in service computing domain are specific and focus on IT level. The challenge of how to monitor diverse aspect of different services simply and flexibly needs to be overcome. In this paper, we present a model-driven approach for service monitoring from both business and IT perspective. In the approach, a service monitoring metamodel is put forward to define various service monitoring models on demand. The resulted model can specify the monitored information and the monitoring process in both business level and IT level. A service cloud monitoring system for the approach is also described in this paper.

Abstract: Image registration is a very fundamental and important part in many multi-sensor image based applications. Phase correlation-based image registration method is widely concerned for its small computation amount, strong anti-interference property. However, it can only solve the image registration problem with translational motion. Hence, we proposed a modified phase correlation registration method in the paper. We analyzed the principle of registration, gave the flow chart, and applied the method to the SAR image registration problems with scaling, rotation and translation transformation. Simulation results show that the method can accurately estimate the translation parameters, zoom scale and rotation angle of registrating image relative to the reference image.

Abstract: A multi-next-hop routing algorithm based on polymerization equivalence class proposed in this paper, which can efficiently avoid route loop. Because each node is divided into different equivalence class, message transmission direction is along reducing order of equivalent class numbers. Based on that, the link criticality is referred to depict the average task in network for every link, it can be used to avoid choosing links with heavier task and longer path length to route, making whole network utilization tend to balance, reducing package loss in the case of high load.

Abstract: At present, periodic train timetable problem (PTTP) becomes one of the hot topics home and abroad. On the basic of present theories and methods about periodic and non-periodic train timetable problem, the thesis constructs a multi-objectives model for the PTTP, transfers it into a single model with multi-priorities structure, and designs a genetic algorithm in a given period by the basic ideas on solving job shop problem. Finally, the paper gives out a instance for Jingjin railroad to show effectiveness of the algorithm.

Abstract: The concept of the road-region ecosystem is described and its environmental features analyzed. In addition, the stability of the road-region ecosystem is summarized. A scientific and rational evaluation of road-region ecosystem stability is proposed to properly investigate the relationship between highway construction and protection of the ecological environment. This paper investigated a method for determining an index system to be used to evaluate road-region ecosystem stability. It put forward an index system for assessing road-region ecosystem stability as a reference. On the basis of detailed analysis of the multidimensional space of the road-region ecosystem, a new method and calculation formula for multi-objective comprehensive evaluation of road-region ecosystem stability are presented. Computation result is fit with the actual situation. The result indicates that the evaluation index system and the method are feasible.

Abstract: As a natural, fast mathematical formula input, online handwritten mathematical formula input have great prospects. The paper described the algorithm of recognizing the common online handwritten mathematical formula structure. Firstly, the forms were defined, the convention of formulas were expanded. A method of calculating weight for the minimum spanning tree(MST) was proposed according to the characteristics of hand-written formula. On the basis of them, MST algorithm was applied to formula structural analysis. Then two new algorithms were proposed to recognize the mix form and table structure respectively. Compared with other classical algorithms, the algorithm proposed in this paper can recognized the expansive structure, while recognition rate was improved.

Abstract: It is important and difficult to identify the Hazard before a disaster happen because disaster often happens suddenly. This paper proposes a new method – State Transition Graph, which based on visual data space reconstruction, to identify hazard. The change process of the system state movement from one state to another in a certain period is described by some state transition graphs. The system state, which is safe or hazard, could be distinguished by its state transition graphs. This paper conducted experiments on single-dimension and multi-dimension benchmark data to prove the new method is effectiveness. Especially the result of stimulation experiments, based on the Yangtze River tunnel engineering data, showed that state transition graph identifies hazard easily and has better performances than other method. The State transition graph method is worth further researching.

Abstract: In this paper, a novel feature descriptor called gradient correlation descriptor (GCD) is proposed. The GCD descriptor uses the gradient correlation measure defined by the inner and exterior product to characterize the gradient distributions in neighborhoods of feature points, and it has the following advantages: Its construction is very simple because of only the inner and exterior product operations are used; Its distinctive performance is better than the region-based SIFT descriptors since the gradient correlation measure can effectively characterize the gradient distributions in neighborhoods of feature points; In the gradient correlation measure the use of gradient mean makes it is not sensitive to the estimate precision of main orientation of feature point, and thus can provide a better stabilization to image rotation; The gradient correlation measure makes it also has very good adaptability to image affine transform, image blur, JPEG compression as well as illumination change.

Abstract: According to the affective model based on rough sets and by combining with rough graph theory, this paper presents a new method to mine affective transition law. This method is a graph structure analysis method of analyzing algebra relationships among rough sets. Simulation shows that the new method is reasonable.

Abstract: Linearity of VCO directly impacts on the range resolution of LFMCW radar, therefor, a linearity correction based on linearity detection is usually adoptted in practical applications. This paper proposes a new method of rapid linearity detection of LFMCW radar. First, estimate and correct the instantaneous phase. Then, fit a straight line for the instantaneous phase of difference frequency signal by least square approximation algorith. Finally, estimate the instantaneous Frequency-Modulation rate of FM signal. Simulation results show that the method is valid.