Applied Mechanics and Materials Vols. 239-240

Abstract: NLM (National Library of Medicine) is one heterogeneous information network, which mixes scholars, MeSH (Medical Subject Headings), journals and research domains. Mining the rules and knowledge concealed among NLM is one hot topic in social computing applications. In this paper, an auto-clustering algorithm for NLM was proposed to uncover the embedded knowledge concerned with medical scholars and medical journals. This algorithm adopts particle swarm optimization (PSO) as iterating algorithm to automatically cluster scholars and journals. In addition, our algorithm utilizes the mutation in genetic algorithm (GA) to overcome local optimization, which is one outstanding bottle neck in various heuristic methods. The effectiveness of our algorithm is demonstrated by applying it to a subset of NLM.

Abstract: In order to reduce the dependence on the images' sizes, resolutions and qualities, a self-adaptive block size fingerprint segmentation algorithm based on the gray level co-occurrence matrix (GLCM) is proposed. Firstly, the image is divided into a number of non-overlapped rectangular blocks whose size is automatically determined by the mean of the ridge distance from the spectrogram. Then the contrasts of the GLCM of each block in different directions of pixel-pair could be calculated. Since the variances of these contrasts are different for the foreground and the background, finally, the fingerprint image can be segmented correctly. Experimental results show that the proposed algorithm performs effectively in processing images gathered by various fingerprint sensors in diverse environments.

Abstract: Compressive sensing(CS)is a novel information theory proposed recently.It broke through the restrictions of the traditional Nyquist sampling theorem on the sampling frequency,which can only use fewer sampling signals to describe the original signals. This article introduces the theory of CS including three main process like sparse representation, mesurement matric design and signal reconstruction.Then it also discusses the issures requiring improvement about the algorithm,the hardware implementation ,finds the reasons and gives some advices in follow-up studies.

Abstract: In this paper we propose a new QR code extracting method based on morphology. Most of the time, locating Finder patterns is a significant part of QR code extraction. On the basis of traditional Finder Pattern detection method which checks whether certain areas meet 1:1:3:1:1 in both vertical and horizontal directions, we further refine the true Finder Patterns from several candidate areas through acreage proportion and gravity center detection, so as to eliminate interference from complex background. After image segmentation and getting the true finder patterns, other than the traditional method such as edge detection, we introduce the algorithm of region growth, along with choosing one seed pixel from obtained finder patterns to roughly figure out the QR code area. Eventually, by combining corner detection and inverse perspective transformation, we accomplish the extraction of QR code. Experiment results show that this method has robust correction capability from complex background and QR code deformation.

Abstract: Landmark correspondence plays a decisive role in the landmark-based multi-modality image registration. We combine RPM (Robust Point Matching) and improved Mean Shift to estimate the correspondence of landmarks in images. We improve the target mode and bandwidth used in Mean Shift, and we also perform RPM to estimate the initial landmark correspondence. Next, we use improved Mean Shift to adjust corresponding relations between points. Our method is benefit to make corresponding relations between points more accurate and impels the convergence process of RPM to be related to the image content. Experimental results show that our method can achieve accurate registration of the multi-modal images.

Abstract: Aiming at the quality of ammunition management in rear depot, this paper determines an evaluation objective system and makes a detailed analysis on its structure. On the basis of this, an evaluation model for ammunition management quality--tree structure model for multi-objective and multistage fuzzy comprehensive evaluation is proposed. Examples are used to demonstrate its evaluation process.

Abstract: In order to obtain the MEMS micro structure's high resolution measurement dynamic parameters ,this paper ,by obtaining stroboscopic imaging technology of micro structure of moving image sequence, proposed one kind based on the phase correlation technique and singular value decomposition technique combining sub-pixel measurement method. By the method of phase correlation, image space coordinate can transform into the frequency domain to the coordinates of the parameter space. And then through the singular value decomposition technique to obtain the correlation matrix, using the least-squares fitting, get the sub-pixel level displacement measurement results. The experimental results show that, with this method of measuring MEMS micro structure plane motion amplitude can reach sub-pixel accuracy, and can be effectively reduced by uneven illumination effect on the measuring result, thereby increasing the measurement results of stability and reduces the measuring error.

Abstract: Interruptible load management plays an important role in maintaining the reliability and security of power systems and reducing price spike of power markets, thus has been widely used in power systems. Interruptible loads dispatch problem with multi-period and multi-interruptible-load is usually a multi-objective, combinatorial optimization problem, and its solution method needs to be carefully investigated. Application of intelligent optimization algorithms to the multi-period interruptible load dispatch problem is discussed in this paper. Multi objectives, such as minimizing the interruption payments and interruption frequency, can be included in the proposed interruptible load dispatch model. The characteristics of different interruptible loads are also considered. Numerical simulations using discrete binary particle swarm optimization (BPSO) and the genetic algorithm (GA) show that the BPSO can obtain better solutions than that of the GA. Thus the BPSO presents better potentials in solving the interruptible load dispatch problem.

Abstract: The realization steps on LabVIEW of general SPWVD and one of special SPWVD named Choi-Williams distribution (CWD) were detailed in this paper. Through the comparative analysis, the series of simulation experiments clearly displayed the superiority of smoothed pseudo Wigner-Ville distribution, and also indicated that the programs of SPWVD and CWD based on LabVIEW could be applied in practical.

Abstract: To solve the multi-objective conflict problem of independent task scheduling in grid computing, model the system along the direction of multi-objective gradient, give the model solution procedure, propose grid scheduling algorithm based on multi-objective non-conflict degree, that is, application of gradient ascent method does a quadratic optimization for the global optimal solution obtained by genetic algorithm, compensate for the GA (genetic algorithm) deficiency in the ability of local search. The experiments demonstrate that the proposed algorithm is better than other tasks scheduling algorithms simply using GA.