38 articles for “feature point”

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Research ArticleOpen accessIn the abstractContributions to the Stirling Engine StudyFlorian Ion Tiberiu PetrescuIn the process of transforming thermal energy into mechanical work, among the known thermal machines, the Stirling engine is the one that can achieve the highest yield (theoretically up to the maximum yield of the Carnot cycle), although in practice it is reduced by the properties of gas and materials used such as friction coefficient, thermal conductivity, melting point, breaking … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 22 Nov 2018 · 10,172 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStructural Performance of Double Laminated Glass Panels with EVA and PVB Interlayer in Four-Point Bending TestsTomáš Hána, Martina Eliášová, Zdeněk SokolMany examples of glass loadbearing structures such as handrails, panes, beams and columns can be found in modern architecture. Most of these elements are made of laminated glass panels. There is a general lack of knowledge about the transfer of shear forces between the glass plies in perpendicularly-loaded laminated panels. This transfer depends significantly on the stiffness of the polymeric … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 14 Aug 2018 · 13,274 accessesView PDF Cite

EditorialOpen accessIn the abstractIs Rerum® the New Coley's Vaccine?Marco RuggieroColey's Vaccine and Cancer Immunotherapy Dr. William B. Coley is credited for having been the first to translate the observation of an association between bacterial infections, high fever and cancer remission into a successful cancer treatment. However, it is worth noting that such an association dates back to at least one century before Coley's times; as Wiemann and Starnes from … …American Journal of Immunology, Vol. 13, Issue 2 · 31 May 2017 · 12,281 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA NEW APPROACH OF LOCAL FEATURE DESCRIPTORS USING MOMENT INVARIANTSLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooMoment invariants have been widely introduced in recognizing planar objects for a few decades. This is due the robustness of moment function in distinguishing the original identity of object under various two Dimensional (2D) transformations. A set of moments computed from a planar images, represents the global description of an object's shape and geometrical features of an image. Since global … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 7,954 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRADIUS BASED BLOCK LOCAL BINARY PATTERN ON T-ZONE FACE AREA FOR FACE RECOGNITIONMd. Jan Nordin, Abdul Aziz K. Abdul Hamid, Sumazly Ulaiman, R. U. GobithaasanThis study presents a comparison of recognition performance between feature extraction on the T-Zone face area and Radius based block on the critical point. A T-Zone face image is first divided into small regions where Local Binary Pattern (LBP) histograms are extracted and then concatenated into a single feature vector. This feature vector will further reduce the dimensionality scope by … …Journal of Computer Science, Vol. 10, Issue 12 · 27 Dec 2014 · 7,967 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImaging 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 PDF Cite

Research ArticleOpen accessIn the abstractPalmprint Recognition using Feature Level FusionR. Gayathri, P. RamamoorthyProblem statement: Palmprint based biometric method has gained high impact over the other biometric methods due to its ease of acquisition, reliability and high client acceptance. Multiple feature extraction from image gives higher accuracy of the authentication system. Approach: This study presents the palmprint based identification methodology which uses the Gabor wavelet entropy to extract multiple features existing on the … …Journal of Computer Science, Vol. 8, Issue 7 · 19 May 2012 · 6,982 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAn Appearance based Method for Eye Gaze TrackingS. V. Sheela, P. A. VijayaProblem statement: Gaze estimation systems compute the direction of eye gaze based on observed eye movements. The need for gaze-contingent applications is the basis of the current research work. The gaze pointing systems is a substitute for the existing input devices. Approach: The gaze tracking methods are either feature based or appearance based. In this study, an appearance based approach … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,580 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImplementation of Multi-Centroid Moment Invariants in Thermal-Based Face Identification SystemKhairul Hamimah Abas, Osamu OnoProblem statement: Current paramount methods and approaches in face identification field rely on facial characteristics; such as location of eyes, length of nose and mouth, regardless the type of medium used to acquire the facial images. The visibility of these facial characteristics varies significantly with environmental factors (e.g., lighting elements). Various researches have been devoted to develop methodologies for addressing … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,163 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOnline Handwritten Physics Expression Recognition Using a CRNN-LSTM ApproachUjwala Pritam Kolte, Sachin Arun NaikOptical Character Recognition (OCR) is crucial for identifying and extracting information from scientific documents. However, recognizing online handwritten physics expressions remains a relatively unexplored area of research. In the existing literature, most of the researchers worked on CNN classification to identify mathematical expressions. The traditional Convolution Neural Network (CNN) has limitations for extracting sequential data. This study proposes a CRNN … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,812 accessesView PDF Cite