Current Issue : July - September Volume : 2016 Issue Number : 3 Articles : 4 Articles
For facility layout problem with continuous block and unequal area, it is key to generate feasible solution of facility layout with\narbitrary space form in order to find the optimal arrangement scheme under a given goal.According to the given slicing position and\nslicing mode, the plane for arrangement was divided into many block areas by use of plane segmentation, which was consistent with\nthe facilities in number.The precise coordinates of the lower-left corner and the top-right corner of each facility were calculated in\nlight of its area, width, and length. The corresponding algorithm was designed in the form of pseudocode.The procedure proposed\ncan provide a feasible facility layout solution. The running results of facilities layout instance containing 14 facilities show that the\nscheme can output facilities plane layout scheme quickly and provide decision support for the facilities planning....
Due to the physical nature of the interference phenomenon, extracting the phase of an interferogram is a known sinusoidal\nmodulation problem. In order to solve this problem, a new hybrid mathematical optimization model for phase extraction is\nestablished. The combination of frequency guide sequential demodulation and harmony search optimization algorithms is used\nfor demodulating closed fringes patterns in order to find the phase of interferogram applications.The proposed algorithm is tested\nin four sets of different synthetic interferograms, finding a range of average relative error in phase reconstructions of 0.14ââ?¬â??0.39 rad.\nFor reference, experimental results are compared with the genetic algorithm optimization technique, obtaining a reduction in\nthe error up to 0.1448 rad. Finally, the proposed algorithm is compared with a very known demodulation algorithm, using a real\ninterferogram, obtaining a relative error of 1.561 rad. Results are shown in patterns with complex fringes distribution...
Text preprocessing is one of the key problems in pattern recognition and plays an important role in the process of text classification.\nText preprocessing has two pivotal steps: feature selection and feature weighting. The preprocessing results can directly affect the\nclassifiers� accuracy and performance. Therefore, choosing the appropriate algorithm for feature selection and feature weighting\nto preprocess the document can greatly improve the performance of classifiers. According to the Gini Index theory, this paper\nproposes an Improved Gini Index algorithm. This algorithm constructs a new feature selection and feature weighting function. The\nexperimental results show that this algorithm can improve the classifiers� performance effectively. At the same time, this algorithm\nis applied to a sensitive information identification system and has achieved a good result. The algorithm�s precision and recall are\nhigher than those of traditional ones. It can identify sensitive information on the Internet effectively....
We introduce a new general TV regularizer, namely, generalized TV regularization, to study image denoising and non blind image\ndeblurring problems. In order to discuss the generalized TV image restoration with solution-driven adaptivity, we consider the\nexistence and uniqueness of the solution for mixed quasi-variational inequality.Moreover, the convergence of a modified projection\nalgorithm for solving mixed quasi-variational inequalities is also shown. The corresponding experimental results support our\ntheoretical findings....
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