In this paper a study of some structural features of handwritten letter ‘a’ is presented. The features under consideration are structural, style and formation features document examiner’s use when studying a questioned document to determine its authorship or authenticity. Feature extraction algorithms for the feature set were developed to perform the extraction procedure automatically. The esti...

Locating program element(s) relevant to a particular feature is an important step in efficient maintenance of a software system. The existing feature location techniques analyze each feature independently and perform a one-time analysis after being provided an initial input. As a result, these techniques are sensitive to the quality of the input. In this paper, we propose to address the above i...

In this paper, we present a method for symbol description based on both spatio-structural and statistical features computed on elementary visual parts, called ‘vocabulary’. This extracted vocabulary is grouped by type (e.g., circle, corner) and serves as a basis for an attributed relational graph where spatial relational descriptors formalise the links between the vertices, formed by these type...

The use of analogies to physical phenomena is an exciting paradigm in computer vision that allows unorthodox approaches to feature extraction, creating new techniques with unique properties. A technique known as the “image ray transform” has been developed based upon an analogy to the propagation of light as rays. The transform analogises an image to a set of glass blocks with refractive index ...

Malware is any software with malicious intentions. Commercial anti-malware software relies on signature databases. This approach has proven to be effective when the threats are already known. However, malware writers employ software encryption tools and code obfuscation techniques to hide the actual behaviour of their malicious programs. One of these techniques is executable packing, which cons...

We have recently demonstrated that evolutionary algorithms can be used to modify the excitation applied to a structure such that damage detection resolution on the output will be improved. Recent results indicate that optimized inputs are highly sensitive to the damage detection feature employed in the optimization, implying that the excitation and feature type should be closely matched if impr...

In this paper we present an approach for the task of author profiling. We propose a coherent grouping of features combined with appropriate preprocessing steps for each group. The groups we used were stylometric and structural, featuring among others, trigrams and counts of twitter specific characteristics. We address gender and age prediction as a classification task and personality prediction...

Introduction Factor VIIa along with tissue factor starts whole coagulation process, so factor VIIa is acting as attractive target for anticoagulant drug design. The inhibition of factor VIIa can result in inhibition of coagulation in the early stages. The factor VIIa inhibitors can act more potent antithrombotic than factor Xa inhibitors. Variety of factor VIIa inhibitors are reported by the va...

In this paper, a method of generating structural descriptions of stereo image pairs and their matching to recover 3-D form of objects in space, is discussed. The method consists of the following steps: rstly, straight line segments are extracted in both images and the relations among them are investigated. The relational subgraphs are constructed then, and the correspondence graph is created. U...

Proteins can be classified into four structural classes (all-α, all-β, α/β, α+β) according to their secondary structure composition. In this paper, we predict the structural class of a protein from its Amino Acid Composition (AAC) using Support Vector Machines (SVM). A protein can be represented by a 20 dimensional vector according to its AAC. In addition to the AAC, we have used another featur...