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41 results for “entropy-based”
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Research ArticleOpen accessIn the abstractIncreasing the Reliability of Fuzzy Inference System-Based Skin DetectorAlaa Y. Taqa, Hamid A. JalabProblem statement: Skin detection is a common primitive for many human-related image processing applications, such as video surveillance, naked image filters and face detection. Skin color is considered as a useful and discriminating spatial feature for many applications, but it is not robust enough to deal with complex image environments. Skin tones range from dark (some Africans) to light white … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,138 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Dielectric Model for Polyvinyl Alcohol-Water Hydrogel at Microwave FrequenciesYou Kok Yeow, Zulkifly Abbas, Kaida Khalid, Mohamad Zaki Abdul RahmanProblem statement: The study described rigorous dielectric modeling for Polyvinyl Alcohol (PVA)-water hydrogel mixture at microwave frequencies. Approach: A commercial open-ended coaxial sensor was used to measure the dielectric constant, loss factor and ionic conductivity, σ of PVA-water hydrogel mixture ranging concentration of 80-100% water content. Results: The sensor was operating between 0.13 and 20 GHz at and above of … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 9,045 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Feature Construction Process for Dynamic Aggregation of Relational AttributesRayner AlfredProblem statement: The importance of input representation has been recognized already in machine learning. Feature construction is one of the methods used to generate relevant features for learning data. This study addressed the question whether or not the descriptive accuracy of the DARA algorithm benefits from the feature construction process. In other words, this paper discusses the application of genetic … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,929 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Method for Accuracy Assessment of Sub-Pixel Classification ResultsH. Emami, B. MojaradiProblem statement: Classification accuracy assessment is the main stage of information extraction to evaluate the performance of a classifier. According to the output's classifiers (thematic map/fraction map), a properly strategy for accuracy assessment should be taken into consideration. Since pure pixels are used in traditional accuracy assessment of full pixel classifiers they are not suitable for assessment of sub-pixel classifiers. … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractContribution of the Entropy Function to the Study of Collimator for Nuclear Medicine ImagingM.S. Bouhdima, I. Elloumi, M.H.B. GhozlenScintigraphic image currently used in the diagnosis or the evaluation process of tissues, is strongly dependant on several technical parameters specially collimator characteristics. The present work describes a numerical method, based on entropy function, able to specify depth and hole diameter of collimator as well as other geometrical parameters to get a better accuracy in scintigraphy evaluation. From the classical … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermodynamics, Non-Linear Isotherms, Statistical Modeling and Optimization of Phosphorus Adsorption from WastewaterAkinpelu Kamoru BabayemiPalm Kernel Shell (PKN), an eco-friendly biomass, was carbonized and activated for the removal of phosphorus from wastewater through batch adsorption process. The studies evaluate the effects of pH, particle size, dosage and contact time on the adsorption capacity of the prepared adsorbent. The equilibrium concentration data and the amount of adsorption were described using non-linear regression analysis of the … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 19 Nov 2016 · 7,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus ImagesS. Kavitha, K. DuraiswamyProblem statement: Diabetic retinopathy is one of the most significant factors contributing to blindness and so early diagnosis and timely treatment is particularly important to prevent visual loss. Approach: An integrated approach for extraction of blood vessels and exudates detection was proposed to screen diabetic retinopathy. An automated classifier was developed based on Adaptive Neuro-Fuzzy Inference System (ANFIS) to differentiate … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,785 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparison of Nonlinear Models for Dry Matter Yield of Brachiaria Hybrid cv Cayman in Drought Season by BootstrappingDanny Villegas Rivas, Nora Valbuena Torres, Manuel Milla Pino et al.The dynamics of biomass accumulation at different seasons of the year is of vital importance in the production of a forage species. In this study nonlinear models (logistic and gompertz) to describe growth dynamics of plants based on dry matter yield of Brachiaria hybrid Cayman at different interval between cuts in drought season were used. Results for logistic and gompertz … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 15 Mar 2021 · 6,640 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCharacterization of Composite Structure Surface Uniformity using Interval Based Gradient Field Histogram Analysis of Thermographic Images (IGF-HA)Mahmoud Zaki IskandaraniThis paper presents a new approach to composite surface characterization using Image Histogram Analysis as a function of Gradient Field. Image sequences are weighed and combined in order to present a pattern change in the thermal response of a tested composite structure. Reaction Injection Molding samples used and subjected to thermal energy to characterize their surface uniformity and any existing … …Journal of Computer Science, Vol. 14, Issue 6 · 25 May 2018 · 7,971 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnergy Efficient Hidden Markov Model Based Target Tracking Mechanism in Wireless Sensor NetworksB. Amutha, M. PonnavaikkoProblem statement: Target tracking is a challenging application in Wireless Sensor Networks (WSNs) because it is computation-intensive and requires real-time location processing. This study proposes a practical target tracking system based on the Hidden Markov Model in a distributed signal processing framework. In this framework, wireless sensor nodes perform target detection and tracking, whereas target localization requires the collaborative signal … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,174 accessesView PDFCite