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159 results for “Fusion”
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Research ArticleOpen accessEvery word in the titleSome Proposed Solutions to Achieve Nuclear FusionRelly Victoria Virgil Petrescu, Aversa Raffaella, Samuel Kozaitis et al.Despite research carried out around the world since the 1950s, no industrial application of fusion to energy production has yet succeeded, apart from nuclear weapons with the H-bomb, since this application does not aims at containing and controlling the reaction produced. There are, however, some other less mediated uses, such as neutron generators. The fusion of light nuclei releases enormous … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 20 Jul 2017 · 8,836 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAbout Nano Fusion and Dynamic FusionFlorian Ion T. Petrescu, John Kaiser CalautitHot fusion is currently a difficult goal to accomplish due to the high temperatures required, which are difficult to achieve and also to be maintained. For these reason, it is much easier to try to achieve cold fusion, or a combined method. In this paper, the author will briefly present some original relationships for setting up a theoretical model for … …American Journal of Applied Sciences, Vol. 13, Issue 3 · 12 Mar 2016 · 11,303 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMetric for the Fusion of Synthetic and Real Imagery from Multimodal SensorsRami Nahas, S. P. KozaitisWe described a method to improve night vision for vehicle navigation that combined images from a thermal infrared camera and from a public database of stored images. Such an approach allows a night scene to appear as if it were daytime for automotive applications thereby increasing safety. We described a new metric to evaluate the fusion of such an augmented … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 4 · 30 Dec 2014 · 7,896 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePERFORMANCE ANALYSIS OF HIGH EFFICIENT AND LOW POWER ARCHITECTURE FOR FUZZY BASED IMAGE FUSIONS. Anbumozhi, P. S. ManoharanImage fusion based on wavelet transform is the most commonly used image fusion method, which fuses the source images’ information in wavelet domain according to some fusion rules. But because of the uncertainties of the source images’ contributions to the fused image, how to design a good fusion rule to integrate as much information as possible into the fused image … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 21 Feb 2014 · 6,753 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleQUALITY BASED SPEAKER VERIFICATION SYSTEMS USING FUZZY INFERENCE FUSION SCHEMELydia Abdul Hamid, Dzati Athiar RamliPerformances of single biometric speaker verification systems are outstanding in clean condition but drop significantly in noisy condition. Implementation of multibiometric systems is one of the solutions to this limitation. However, in order to ensure the performances of multibiometric systems are sustained, the optimum weight for the fusion system must be determined correctly according to the quality of current data. … …Journal of Computer Science, Vol. 10, Issue 3 · 3 Dec 2013 · 6,898 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNEW TRACK-TO-TRACK CORRELATION ALGORITHMS BASED ON BITHRESHOLD IN A DISTRIBUTED MULTISENSOR INFORMATION FUSION SYSTEMLiu Yu, Wang Haipeng, He You et al.Track-to-Track correlation (or association) is an ongoing area of interest in the field of distributed multisensory information fusion. In order to perform accurately identifying tracks with common origin and get fast convergence, this study presents independent and dependent Bi-threshold Track Correlation Algorithms (called BTCAs), which are described in detail and the track correlation mass and multivalency processing methods are discussed … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,643 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImaging Spectroscopy and Light Detection and Ranging Data Fusion for Urban Features ExtractionMohammed Idrees, Helmi Zulhaidi Mohd Shafri, Vahideh SaeidiThis study presents our findings on the fusion of Imaging Spectroscopy (IS) and LiDAR data for urban feature extraction. We carried out necessary preprocessing of the hyperspectral image. Minimum Noise Fraction (MNF) transforms was used for ordering hyperspectral bands according to their noise. Thereafter, we employed Optimum Index Factor (OIF) to statistically select the three most appropriate bands combination from … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 28 Oct 2013 · 7,152 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIMPROVING INDEPENDENT COMPONENT ANALYSIS USING SUPPORT VECTOR MACHINES FOR MULTIMODAL IMAGE FUSIOND. Egfin Nirmala, A. Bibin Sam Paul, V. VaidehiThe objective of this study is to combine multiple images of a scene acquired by different sensors to create a new image with all important information from the input images. Recent studies show that bases trained using Independent Component Analysis (ICA) is effective in multisensor fusion and has improved performance over traditional wavelet approaches. In the ICA based fusion, the … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 7,272 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeature Fusion in Improving Object Class RecognitionNoridayu Manshor, Amir Rizaan Abdul Rahiman, Mandava Rajeswari, Dhanesh RamachandramProblem statement: Extraction of features in object class recognition researches previously gives attention to local features as discriminative features. This is because local features have invariant properties that are robust to viewpoints, translation and rotation. However this feature still has a limitation to represent high-level representation of objects. The problem will occur if the object is too small and do … …Journal of Computer Science, Vol. 8, Issue 8 · 24 Jul 2012 · 6,907 accessesView PDFCite