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This paper deals with a common problem of the distribution of soldiers over the operation area to occupy the best position for the optimal visual coverage of the area of interest. The main idea for optimization is the usage of the simulated annealing. This method brings the most promising result in the ratio of time to performance. The calculation's result is the optimal number of observation posts...
In this paper, we explore a new algorithm to detect people with thermal cameras based on the standard Implicit Shape Model (ISM) technique. Our approach starts with the ISM to define the proposed centers of people locations. Then we utilize a novel method to detect people based on the density of the concentrated proposed centers by using an auto generated threshold mechanism. Our method is easy to...
This paper presents a method for touch-based gesture recognition that can be used in human-centered interfaces for ambient intelligence applications. Gestures are associated with shapes and they are represented using Fourier coefficients. Neural Networks, Decision Trees, Naïve Bayes and a set of classifiers (based on Linear Discriminant Analysis) are tested for gesture recognition. All these methods...
Aeronautical engineering design projects involving rigid wingsail vehicles are described. Wingsail technology is appropriate for study by undergraduate aeronautical engineering students because it encompasses a range of topics that are already treated within the curriculum. Aeronautical engineering programs must prepare graduates to have knowledge of aerodynamics, materials, structures, propulsion,...
In this paper, a Fuzzy clustering method based on Fuzzy c-Means clustering(FCM) and Evolutionary Strategies (ES) is proposed for handwritten Farsi character recognition. Experimental result showed that not only this algorithm can represent accurately the ambiguity of handwritten characters but also it outperforms the classical crisp based methods especially when word recognition is the main concern.
Radiation near-fields of 10m height TEM antenna are computed by parallelized finite-difference time-domain(FDTD) method. The effects of the source's excitation ways, terminator load, below plate's shape and the ground to the near-fields of that TEM antenna are discussed. And the regularity of simulation is agreed well with that of experiment. The simulation analysis shows that the simulation results...
Generating test inputs from source code is a topic that is starting to transfer from academic research to industrial application. Symbolic execution is one of the promising techniques for such white-box test generation. However, test input generation for non-trivial programs often reaches limitations even when using the most mature tools due to the underlying complexity of the problem. In such cases,...
Test case selection is a classic testing technique to choose a subset of existing test cases for execution, due to the limited budget and tight deadlines. While `code coverage' is the state of practice among test case selection heuristics, recent literature has shown that `test case diversity' is also a very promising approach. In this paper, we first compare these two heuristics for test case selection...
Graphical user interfaces (GUIs) are integral parts of software systems that require interactions from their users. Software testers have paid special attention to GUI testing in the last decade, and have devised techniques that are effective in finding several kinds of GUI errors. However, the introduction of new types of interactions in GUIs (e.g., direct manipulation) presents new kinds of errors...
Character recognition techniques for printed documents are widely used for English language. However, the systems that are implemented to recognize Asian languages struggle to increase the accuracy of recognition. Among other Asian languages (such as Arabic, Tamil, Chinese), Sinhala characters are unique, mainly because they are round in shape. This unique feature makes it a challenge to extend the...
A number of efforts have been applied on human activity recognition such as face recognition and motion analysis. The major problems in recognition are: 1. Scale. 2. Shift. 3. Projection. Human Activities are identified by the pose of the body such as standing, sitting etc. and some of the activities are like the emotions, facial expressions etc. Generally, human activity recognition is achieved by...
A Fuzzy C Regression Model (FCRM) distance metric has been used in Competitive Agglomeration (CA) algorithm to obtain optimal number rules or construct optimal fuzzy subspaces in whole input output space. To construct fuzzy partition matrix in data space, a new objective function has been proposed that can handle geometrical shape of input data distribution and linear functional relationship between...
This paper proposes a method for simulating human opinions about graphical artistic expressions like calligraphy using computers. Scanned images of handwriting texts from a large database are labeled as "beautiful writing" or "ugly writing" by two persons based on their own likes. Our objective is to replicate these opinions using machine learning techniques. Shape features are...
This paper introduces and evaluates our point-triplet spin-image descriptor, a novel descriptor that requires three vertices to be computed. This descriptor is able to encode surface information, within a spherical neighbourhood with radius r defined from a triplet's baricenter, into a surface signature. We believe that this new descriptor could be useful within a number of graph based retrieval applications;...
Predicting reliability of software under development is an important part of estimations in software engineering projects. In many organizations as the goal is that software products are released with no known defects, the process of finding and removing defects correlates with the effort for software projects. Software development projects estimate the resources needed to design, develop, test and...
This paper proposes a novel machine-learning framework for facial-expression recognition, which is capable of processing images fast and accurately even without having to rely on a large-scale dataset. The framework is derived from Support Vector Machines (SVMs) but distinguishes itself in three key ways. First, the measure of the samples normalization is based on the Perturbed Subspace Method (PSM),...
We present an approach for on-line recognition of handwritten math symbols using adaptations of off-line features and synthetic data generation. We compare the performance of our approach using four different classification methods: AdaBoost. M1 with C4.5 decision trees, Random Forests and Support-Vector Machines with linear and Gaussian kernels. Despite the fact that timing information can be extracted...
A novel, tablet-based application (app) has been developed to act as a screening tool for visual impairment in stroke survivors; The Stroke Vision app. The app includes assessments for visual acuity, visual fields and visuospatial neglect, as well as novel tools for the education of patients, carers and staff. The app has been devised by experts in the field to address two important deficiencies;...
In this paper we present a novel approach to integrate feature similarity and spatial consistency of local features to achieve the goal of localizing an object of interest in an image. The goal is to achieve coherent and accurate labeling of feature points in a simple and effective way. We introduced our Spatial-Visual Label Propagation algorithm to infer the labels of local features in a test image...
Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation problem and speeds up the process of matching a lot. In this method, one set of points are thought to be sampled from a Gaussian Mixture Model (GMM), which is centered by the other set of...
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