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In order to promote the utilization of lifelog videos, an effective retrieval framework of the emotional scenes, which are considered to be important scenes, is proposed in this paper. The proposed method is based on facial expression recognition since the emotional scenes can be detected by taking the facial expressions into consideration. Most of conventional facial expression recognition methods...
In this study, we aim to extract key expressions that indicate the important sentence describing the originalities or contributions from article abstracts. The expense of searching academic information increases because of increases in the number of articles, discipline subdivisions, and promotion of interdisciplinary research. Improving the extraction and presentation of the main points from article...
Oncogene is a kind of inherent genes exists in humans' cells. It has been recognized as a genetic disease, if the cells activated, it can make a person carcinogenesis. So, the research of digging out the useful information from gene chip is very hot in modern society. The sample size is small, high dimension, nonlinear which causes the 'dimension disaster', so dimensionality reduction becomes the...
This work addresses position update mechanisms that may increase the accuracy of particle swarm classification (PSC), a derivative of Particle Swarm Optimization (PSO) fit for classification problems. The main idea in PSC is to retrieve the best particle positions corresponding to the centroids of classes. We present two variants of the PSC algorithm with different position update mechanisms. In particular,...
Topic modeling is a popular research topic and is widely used in text mining based applications. Many researchers realize that the learned topics in the LDA model, each as a multinomial distribution on the word vocabulary space, are often not intuitive in term of human recognition and communication. Based on our observation, given a topic, the most frequent words in it are usually less important than...
Localization, the determination of geographical location of sensors is a fundamental problem in wireless sensor networks. In this paper we consider a static wireless network in which the reference nodes are static-non moving. We propose a positioning method known as hybrid optimizing algorithm (HOA) which combines steepest decent method and Taylor series expansion method. The steepest decent method...
Implicit Runge-Kutta based convolution quadrature and temporal Galerkin approaches to the discretization of the time domain integral equations are combined to produce an accurate efficient solution approach. The underlying method is just the convolution quadrature approach itself, and is used to compute temporal interactions between proximal patches. More distant interactions are computed by a method...
The main objective of this paper is to provide efficient and accurate sediment transport models and especially the bedload sediment tranport due to water evolution. The model is obtained by coupling the hydrodynamical component and the morphodynamical one. As our goal is to study coastal media, we chose the ShallowWater equations for the first component. For the other component the choice of the Exner...
Given multiple classifiers, one prevalent approach in classifier ensemble is to diversely combine classifier components (diversity-based ensemble), and a lot of previous works show that this approach can improve accuracy in classification. However, how to measure diversity and perform diversity-based learning are still challenges in the literature. Moreover, the learning procedure highly depends upon...
Text detection and recognition is a challenging problem in document analysis due to the presence of the unpredictable nature of video texts, such as the variations of orientation, font and size, illumination effects, and even different 2D/3D text shadows. In this paper, we propose a novel horizontal and vertical symmetry feature by calculating the gradient direction and the gradient magnitude of each...
Pollen tube growth is an essential part of the sexual reproductive process in plants. It is the result of a complex interaction of cytoplasmic contents (proteins, ions, cellular structures, etc.). Existing pollen tube models use differential equations to represent these complex intra-cellular interactions that lead to growth. As a result of this complex nature, these models are not used to verify...
There is an urgent need to develop accurate memristor circuit models for use in future large designs. Several Verilog-A and SPICE models have been presented which vary in their accuracy and simulation speed. This paper corrects a previous Verilog-A model and enhances the accuracy of another one. The results show that our proposal is stable over long simulation time, correctly predicts the behavior...
Localisation or position determination is one of the most important applications for wireless sensor networks since the locations of the sensor nodes are critical to both network operations and most application level tasks. Numerous techniques for localisation of sensor nodes have been proposed that make use the Received Signal Strength Indicator (RSSI) from sensor nodes due to its simplicity and...
This paper is devoted to modeling and analysis of multi-product manufacturing systems with asynchronous exponential machines and finite non-dedicated buffers. In such systems, each machine may process different types of products with different speeds, and buffers are shared for all products. Analytical methods to evaluate the system performance are developed. Formulas are derived to calculate line...
Text categorization task have gained the attention of researchers in last 10 years with the increase in web-based contents of documents. For searching a particular document from the web or any large document collection text or document categorization is most useful task. We demand some better system and enhanced machine learning classifiers to accomplish task of document categorization. We designed...
Multimodal optimization aims at locating multiple optima in a run, which has two main advantages over traditional single objective global optimization. First, it would be useful to provide multiple solutions since some solutions may be hard to realize physically. Second, a multimodal algorithm is not so easy to get stuck in a local optimum. In recent years, multi-population evolutionary algorithms...
IP traceback to the origin of denial of service (DoS) attack is extremely hard and most existing methods such as marking and logging based approaches are not practical and need changes in infrastructure. The flow-based IP traceback is a new approach which can use the advantages of metaheuristic algorithms. In this paper, a bee colony algorithm is applied to find the DoS attack source. The traffic...
Along with the information explosion in the Internet era, the traditional classification methods, such as KNN (k-nearest neighbor), Naive Bayes (NB), encounter bottlenecks due to the endless stream of new words. In this paper, through comparing with the Rocchio and Bayesian algorithms, it has been found that centroid-based algorithms are insufficient for text classification. Therefore, a novel feature...
In order to realize texture image segmentation, a new texture segmentation method is presented. The method fused with Local Binary Pattern (LBP), Gray-level Co-occurrence Matrix (GLCM) and permutation entropy. After processing the texture image by the rotation invariant LBP operator, the LBP image can be obtained. Then co-occurrence matrixes can be calculated in the LBP image, some features which...
This paper is concerned with a numerical scheme to the inverse source problem, called Particle Swarm Optimization(PSO), which is a population-based stochastic optimization method. It is based on the simulation of the social behavior of birds within a flock. Application to the acoustic source localization (ASL) with two and three sources is discussed. Compared with parallel optimization and other methods,...
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