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This paper presents a fast algorithm for sequence alignment in Biocomputing using Bloom filters. The idea behind this proposed method is comparing subsequence of incoming sequences with Bloom filter and discovering the matched subsequence. The sequence alignment problem has a large number of comparisons. According to the last successful experiences of useing Bloom filter in similar issues such as...
Due to increasing of concerns amongst digital content owners, many watermarking methods have been proposed in recent years to protect copyright of digital images. These methods are classified as either spatial or frequency domain techniques. Since fidelity and robustness are important factors in watermarking, many methods have been proposed that try to increase robustness as well as preserving the...
One of the challenges for electrocardiogram (ECG) signals extraction is additive power line interference (PLI) which contains 50Hz or 60Hz base frequency and several harmonics. Variety of fixed-frequency and adaptive notch filter structures are proposed for power line interference suppression. Because of frequency varying behavior of power line interference, fixed frequency filters suffer from the...
Recently, research on effective Acoustic Emission (AE)-based methods for condition monitoring and fault detection has attracted many researchers. Due to the complex properties of acoustic signals, effective features for fault detection cannot be easily extracted from the raw acoustic signals. To extract representative features, signal processing techniques play an important role. One of the commonest...
In this paper, we tailor the Artificial Bee Colony (ABC) algorithm to solve the Graph Coloring Problem (GCP). We call this algorithm as the ABC-GCP. In the proposed ABC-GCP, a sequence of nodes of the given graph is generated. Then, based on this order of nodes, a color assignment algorithm is executed on the graph to color it. The sequence generation is implemented by the ABC algorithm in which a...
In this paper,we aim to design and control the power frequency which is produced by a hybrid generator network(Diesel Generator and Solar PV Panels) while there are sudden changes in the connected load to the network. We call this type of control as the “Load Frequency Control” and in abbreviation LFC. We will consider the changes as a step to the solar power network. At first, generator network and...
Nowadays anomaly detection based on Artificial Immune system (AIS) is highly regarded among the research community and Clonal selection algorithm is one of the most interesting fields of it. In this paper we model self-region by a number of spheres with fix radius. We have assumed anomaly detectors as spherical shape with random central point and variable radius out of this region. Detection rate...
Error-correcting output codes (ECOC) represents a powerful framework to deal with multiclass classification problems based on combining binary classifiers. The key factor affecting the performance of ECOC methods is the independence of binary classifiers, without which the ECOC method would be ineffective. In spite of its ability on classification of problems with relatively large number of classes,...
So far a number of methods have been presented in order to automate air traffic management (ATM) using multi-agent systems (MASs) technology. However, there has been little discussion about the advantages and disadvantages of these methods. In addition, there has not been created a comprehensive reference to compare these methods. Furthermore, researchers studied ATM from a specific viewpoint and...
Pose recognition has recently become a very hot research topic in computer vision and multimedia information processing. In this paper, we propose a generative model for pose recognition based on mixtures of the exponential family of distributions. The distributions which are considered in this paper are the Multivariate Gaussian (MG), Rayleigh (R), Poisson (P), Bernoulli (B) and Centered Laplacian...
In this paper, the use of the one hot residue (OHR) number system for digital image processing and its application for designing fast, high-speed and low area image processors are studied. Since digital image filtering in space domain requires many algebra computations, we're going to propose a system with high computing speed based on OHR. Using proposed system can significantly enhance the speed...
We present a modified examplar-based inpainting method in the framework of patch sparsity. In the examplar-based algorithms, the unknown blocks of target region are inpainted by the most similar blocks extracted from the source region, with the available information. Defining a priority term to decide the filling order of missing pixels ensures the connectivity of object boundaries. In the exemplar-based...
In this paper, feature selection using binary gravitational search algorithm is utilized to improve the precision of CBIR systems. Content-based image retrieval, CBIR, is one of the most challenging problems in the field of pattern recognition. The performance of a CBIR system is hardly depends on the features that are extracted from images. Thus, selecting most relevant features leads to higher accuracy...
Verifying human faces in a gray scale image with complex background is a challenging task since every position and size can be a potential face in these images. Searching for face of interest using regular search methods is an extremely time consuming task. In order to deal with this large search space, this paper proposes the use of Imperialist Competitive Algorithm (ICA). ICA is an evolutionary...
In this paper we present a new model based on Artificial Immune System for credit card fraud detection. In this model, which is based on Artificial Immune Recognition System, user behavior is considered. The model puts together the two methodologies of fraud detection, namely tracking account behavior and general thresholding. The system generates normal memory cells using each user's transaction...
In this paper, we present a new swarm optimizer using a novel adaptive gradient based search algorithm and the rescaling concept, named Multiscale Gradient Based Swarm Optimizer (MGBSO). In the first stage of MGBSO, the coarse area of the global optimum is estimated using the proposed search algorithm. Then in the second stage, rescaling concept is also taken into account along with the proposed search...
In this paper we present a new supervised evaluation method for measuring the accuracy of image segmentation algorithms. This method calculates the extent of similarity between segmented images against ground truth. Feature vectors are computed based on the shape descriptor for each region in segmented image and then compared with the feature vectors of ground truth image. The proposed method can...
This paper presents a novel steganographic algorithm based on the spatial domain: Least Significant Bits (LSB). This approach improves the LSB matching method proposed by Mielikaien while Mielikaien's method utilizes a binary function to reduce the number of changed pixel values. In proposed method, a two-score system is proposed to assess the performance of different orders for LSB matching. Afterward...
In this paper, a new blind identification and source separation method, which explicitly uses nonstationarity of the sources in separation of their instantaneous mixtures, is developed and effectively used for separation of seizure signals. In this approach tensor factorization concept has been exploited for which the optimization steps require nonstationarity of the sources. Based on this method...
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