Global Journal of Computer Science and Technology (GJCST)
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Automatic Gait Recognition using Hybrid Neural Network
Get PDFGait is a biometric trait that has been used for user authentication or verification on the basis of various attributes of gait. Gait of an individual get affected due to variation in mood, emotions, age and weight, due to these variation a perfect model is not possible that can be developed so that these all factors can be eliminated. In the proposed work, CASIA dataset has been used as standard dataset. This dataset contains samples of 16 different individuals that have been taken at 0, 45, 90 degrees of angles. Afterwards, silhouette images have been taken for feature extraction from the gait samples using variable2-dimenssiaonl principal component analysis with neural network classifier.Along with this, validation of the proposed work has been done using two performance evaluation parameters, namely, FAR and FRR through confusion matrix
Towards Arabic Alphabet and Numbers Sign Language Recognition
Get PDFThis paper proposes to develop a new Arabic sign language recognition using Restricted Boltzmann Machines and a direct use of tiny images. Restricted Boltzmann Machines are able to code images as a superposition of a limited number of features taken from a larger alphabet. Repeating this process in deep architecture (Deep Belief Networks) leads to an efficient sparse representation of the initial data in the feature space. A complex problem of classification in the input space is thus transformed into an easier one in the feature space. After appropriate coding, a softmax regression in the feature space must be sufficient to recognize a hand sign according to the input image. To our knowledge, this is the first attempt that tiny images feature extraction using deep architecture is a simpler alternative approach for Arabic sign language recognition that deserves to be considered and investigated
Graphic Interface Applied to Automated System to Manage the use of Tools in Machine
Get PDFThe processing industry has to find ways to reduce manufacturing costs, as a way to survive in the market with increasing competition. This competition has become increasingly driven by globalization, that is, an industry has to share the consumer market with other industries that are installed worldwide. One of the possible ways to reduce manufacturing costs is related to the efficient use of basic inputs. Among the main inputs used in the manufacture, some are specifically related to the tools that are installed on machines such as lathes, grinding machines, presses and others. Typically, the tools developed by the industry in the process engineering sector have dedicated characteristics that must be maintained to perform the appropriate transformation of the product being manufactured. The preservation of these characteristics is linked mainly with the specified service life for the use of each tool, in order to make the substitution before the product is affected by non conformities arising from the manufacturing process. The tool replacement at the right time becomes essential, but to perform this task should be considered aspects related to the early and late replacement, both of which can lead to increased costs for the purchase of tools or rework parts produced with different characteristics what was envisaged in the specification. In this context, this paper proposes a graphical interface to be integrated into the physical architecture of the automated system that makes managing the use of tools for industrial eccentric press. All virtual components designed for the windows of the graphical interface are significant and related to the procedures set out to make the replacement of each of the press tool. The validation of the functionality of the interface is obtained by means of tests on the prototype that adopts the basic elements provided in said architecture. The positive results observed in practical tests suggest that graphical interface is appropriat
Probability of Semantic Similarity and N-grams Pattern Learning for Data Classification
Get PDFSemantic learning is an important mechanism for the document classification, but most classification approaches are only considered the content and words distribution. Traditional classification algorithms cannot accurately represent the meaning of a document because it does not take into account semantic relations between words. In this paper, we present an approach for classification of documents by incorporating two similarity computing score method. First, a semantic similarity method which computes the probable similarity based on the Bayes' method and second, n-grams pairs based on the frequent terms probability similarity score. Since, both semantic and N-grams pairs can play important roles in a separated views for the classification of the document, we design a semantic similarity learning (SSL) algorithm to improves the performance of document classification for a huge quantity of unclassified documents. The experiment evaluation shows an improvisation in accuracy and effectiveness of the proposal for the unclassified documents
Secure Data Distribution using Secret Splitting over Cloud
Get PDFDevelopments are important to ride the unavoidable tide of progress. A large portion of undertakings are endeavoring to lessen their processing cost through the method of virtualization. This interest of diminishing the computing cost has induced the development of Cloud Computing. Cloud computing provides set of services to the customers over the network on rented basis which can be scaled up or down as per customers requirements. Typically cloud computing administrations are conveyed by an outsider supplier who possesses the foundation. In this paper we are focusing on secure data distribution over cloud using secret splitting. This will help us to achieve data confidentiality, integrit
Development of Method and Tool for Optimizing the Earthwork with Ex-Situ Remediation of Polluted Soil
Get PDFIn this article a method is developed for optimizing the work share between dozers and excavators in the excavation work of polluted soil. Experiences are implemented in order to both validate hypothesis and set relations between measurable physical parameters (like the overlay between lines or the maximal line length) and excavation efficiency. In the final part of the article, the author shows how work share between machines can be optimized by using calculations on the appropriate parameters in a calculation sheet and parameterizing a solver tool
Building a Framework for ICT Project Implementation and Evaluation
Get PDFIn this technological era with a wide range of Information and Communication Technologies (ICT) resources, organizations are dealing with massive amounts of data, highly equipped infrastructure, and a sustainable business environment and are attempting to obtain competitive advantages while securing their capital in an aggressive market environment. The use of technology offers a chance for firms to produce better quality products and services, in addition to creating a productive work environment and encouraging all types of stakeholders to take more interest in organizational business activities. The evaluation of this massive investment with the proper framework is a real challenge for almost every organization. This paper discusses the different approaches used for evaluating ICT projects, such as pre- and post- implementation evaluations through the measurement of financial and non-financial returns. This study proposes a frame
