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27 articles for “Generated Vector (GV)”

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Research ArticleOpen accessIn the abstractSOFT COMPUTING BASED MEDICAL IMAGE RETRIEVAL USING SHAPE AND TEXTURE FEATURESM. Mary Helta Daisy, S. Tamil SelviImage retrieval is a challenging and important research applications like digital libraries and medical image databases. Content-based image retrieval is useful in retrieving images from database based on the feature vector generated with the help of the image features. In this study, we present image retrieval based on the genetic algorithm. The shape feature and morphological based texture features are … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 24 Dec 2013 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Probabilistic Relay in Ad Hoc On-demand Distance Vector and Ad Hoc On-demand Multipath Distance Vector Under Highly Dynamic EnvironmentsRadityo Anggoro, Teruaki Kitasuka, Ryoji Nakamura, Masayoshi AritsugiVehicular Ad hoc Networks (VANETs) are a specific class of Mobile Ad hoc Networks (MANETs). Since vehicles tend to move in a high speed, the network topology is rapidly changed. Thus vehicle’s connectivity problem is one of the interesting issues in VANETs. Ad hoc On-demand Multipath Distance Vector (AOMDV) is an extended version of ad hoc on-demand distance vector (AODV). … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecond-Order Statistical Approach for Digital Modulation Scheme Classification in Cognitive Radio Using Support Vector Machine and K-Nearest Neighbor ClassifierS. Ravi, R. KannanCognitive radio systems require detection of different signals for communication. In this study, an approach for multiclass signal classification based on second-order statistical feature is proposed. The proposed system is designed to recognize three different digital modulation schemes such as PAM, 32QAM and 64QAM. The signal classification is achieved by extracting the 2nd order cumulants of the real and imaginary … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 6,732 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NAPIN PROMOTER ACTIVATES GENE EXPRESSION IN DEVELOPING SEEDS OF LESQUERELLA FENDLERIGrace Q. Chen, Jiann-Tsyh LinLesquerella fendleri produces industrial useful Hydroxy Fatty Acids (HFA) in seed oil. To improve oil and HFA of L. fendleri, it is desirable to use of seed-specific promoters to control the expression of target genes by genetic engineering. A seed-specific promoter fragment, -397 to -1 of a napin gene (PnapA) from Brassic napus was isolated by PCR and constructed to … …OnLine Journal of Biological Sciences, Vol. 12, Issue 3 · 18 Sep 2012 · 7,890 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Transgenic Maize using Immature Embryos of HiII Genotype as a Vaccine CandidateHyun A. Kim, Suk Yoon Kwon, Han Sang Yoo et al.Problem statement: Plant-based vaccines posses some advantages over other types of vaccine biotechnology such as safety, low cost of mass vaccination programs and wider use of vaccines for veterinary medicine. These study was undertaken to develop the transgenic maize as edible vaccine candidate for animals. Approach: The immature embryos of HiII genotype were inoculated with A. tumefaciens strain C58C1 containing … …American Journal of Biochemistry and Biotechnology, Vol. 8, Issue 1 · 5 Mar 2012 · 7,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransformation of Lesquerella Fendleri with the New Binary Vector pGPro4-35SGrace Q. Chen, Roger Thilmony, Jiann-Tsyh LinProblem statement: Crop genetic engineering requires the use of various promoters to control the expression of introduced transgenes. Some of the binary vectors currently available for promoter characterization in dicotyledonous plants have pitfalls due to their construction, such as containing a selectable marker cassette with enhancer sequences that can potentially interfere with the expression specificity of nearby promoters. Also, many … …OnLine Journal of Biological Sciences, Vol. 11, Issue 3 · 19 Jan 2012 · 7,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractPecan Weevil Recognition Using Support Vector Machine MethodGhulam Mubashar Hassan, Saleh Mufleh Al-SaqerProblem statement: The Pecan weevil was considered as the most dangerous pest of Pecan fruits. The aim of this research is to evaluate Support Vector Machine method (SVM) for identifying Pecan Weevil among other insects. Eventually, this recognition system will serve in a wireless imaging network for monitoring Pecan Weevils. Approach: SVM has been evaluated using two different kernel functions … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 24 Dec 2011 · 7,926 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimal Path Management Strategy in Mobile Ad Hoc Network Using Fuzzy and Rough Set TheoryP. Seethalakshmi, M. Joseph Auxilius Jude, G. RajendranProblem statement: Mobile Ad Hoc Network (MANET) is a collection of wireless mobile nodes that dynamically forms a network. Most of the existing ad-hoc routing algorithms select the shortest path using various resources. However the selected path may not consider all the network parameters and this would result in link instability in the network. The problems with existing methods are … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 15 Oct 2011 · 7,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study in Classification Techniques for Unsupervised Record Linkage ModelMohammadreza Ektefa, Fatimah Sidi, Hamidah Ibrahim et al.Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. To find out whether two records are duplicate or not, supervised and unsupervised classification techniques are utilized in … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 8,199 accessesView PDFCite