Advanced Materials Research Vols. 1049-1050

Abstract: Correctly sorting the staggered pulse trains each station received is one of the key technologies in the location effect of multi-station time difference passive detection system. According to the problem of straight grid division and the difficulty in sorting two emitters with the same one-dimensional time difference in the histogram method, a time difference sorting algorithm based on natural clustering is proposed. Simulation results show that the algorithm can overcome the defects of histogram method above, and solve the pulse miss-sorting problem, offering better sorting results.

Abstract: Segmentation of diseased lungs in CT images is a nontrivial problem. As Active Appearance Model (AAM) has been applied effectively in this field, we propose a new approach for the construction of traditional AAM to segment the lung fields more accurately and efficiently: Matrixes based AAM (MatAAM). MatAAM is based on two-dimensional image matrixes rather one-dimensional vectors. Its appearance matrix does not need to be transformed into a vector prior to computing the appearance parameter. Instead, a covariance matrix is constructed directly using the normalized appearance matrixes and its eigenvectors are derived for the appearance parameter. The experiment results were compared to other landmark-based methods: Snake, Active Shape Model (ASM), AAM and several modified versions of them. For segmentation of lungs especially diseased lungs, MatAAM performed a superior result in both precision and efficiency.

Abstract: Generalized strictly diagonally dominant matrix is very important in computing mathematics and matrix theory, many articles are searching simple and practical identification of generalized strictly diagonally dominant matrix. In this paper, using the concept of diagonal dominance, some sufficient conditions for generalized strictly diagonally dominant matrices are given.

Abstract: This paper proposes a novel parallel computing method of semantic similarity in linked data to solve such problems as low efficiency and data dispersion.It combines the existing similarity calculation method with MapReduce parallel computation framework to design the appropriate parallel computing method of similarity. First, three typical similarity computing methods and the parallel programming models are introduced. Then according to the MapReduce programming techniques of cloud computing, the parallel computation of similarity in linked data is proposed. The experimental results show that, compared with the traditional platforms, the parallel computing method of similarity on the Hadoop cluster not only improves the capacity and efficiency in the processing massive data, but also has a better speed-up ratio and augmentability.

Abstract: Word sense disambiguation as a central research topic in natural language processing can promote the development of many applications such as information retrieval, speech synthesis, machine translation, summarization and question answering. Previous approaches can be grouped into three categories: supervised, unsupervised and knowledge-based. The accuracy of supervised methods is the highest, but they suffer from knowledge acquisition bottleneck. Unsupervised method can avoid knowledge acquisition bottleneck, but its effect is not satisfactory. With the built-up of large-scale knowledge, knowledge-based approach has attracted more and more attention. This paper introduces a new context weighting method, and based on which proposes a novel semi-supervised approach for word sense disambiguation. The significant contribution of our method is that thesaurus and machine learning techniques are integrated in word sense disambiguation. Compared with the state of the art on the test data of the English all words disambiguation task in Sensaval-3, our method yields obvious improvements over existing methods in nouns, adjectives and verbs disambiguation.

Abstract: To avoiding tampering with jewelry image, based on web service technology, a jewelry image watermarking encryption service is proposed by encapsulating the watermarking encryption module which runs in the local network environment. The service can judge the barcode regions in the jewelry image, and get the jewelry serial number by analyzing the barcode content. The practicability and validity of the watermarking encryption service is verified through the application in the jewelry inspection business management system.

Abstract: EM algorithm is a very popular algorithm in missing data analysis. However,The variance of the estimator from EM is intractable. In this paper, we propose the supplemented EM algorithm for computing the variance that do not require computation and inversion of the information matrix.

Abstract: For the aim that describing the growth process of plant sticks with a effective model, presented a new method based on plant physiological characteristics, it also considered plant weight and light comprehensively. The model can reflect parallel growing of plants continually and dynamically, and the relationship between plant morphology and growing physiology is also be reflected at the same time. The simulation results show that the model is directly and provides a practical method for the research of virtual plant, especially for the plant sticks.

Abstract: To realize the reasonable and effective safety management and decision-making in aviation productive activity, the flight safety time series can be used to mine the statistical law for the assistant of accident prevention. Based on this purpose, Grey modeling theory is introduced in the field of the aviation safety analysis. The actual example shows that, the established GM (1, 1) model for flight mishap data of USAF has a good prediction for future years, especially for the accident data that follows or approximates the exponential law.

Abstract: To assist the aviation safety management and decision-making, it is important to effectively predict the flight incident 10000-hour-rate for preventing the aviation accidents. For improvement of prediction level, a simple regression model is proposed. The prediction result obtained in actual example indicates that the proposed single regression model has a good prediction on CAAC flight incident 10000-hour-rate.