Search results for " logic"

showing 10 items of 1720 documents

Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe

2012

One of the major drawbacks of land cover products is the lack of interoperability among them. Since their development was driven by different national or international initiatives, they were developed for different purposes and hold diverse technical characteristics. Thus, comparison among products and quality monitoring is necessary in assessing their usefulness. This paper provides a methodology to compare global land cover maps that allows for differences in legend definitions among products. Two different approaches were considered for map comparison, a Boolean approach and a new methodology based on fuzzy set theory in which the Land Cover Classification System (LCCS) acted as a genera…

Computer scienceInteroperabilityFuzzy setLand covercomputer.software_genreFuzzy logicAtomic and Molecular Physics and OpticsComputer Science ApplicationsSet (abstract data type)Consistency (database systems)Identification (information)Data miningComputers in Earth SciencesScale (map)Engineering (miscellaneous)computerISPRS Journal of Photogrammetry and Remote Sensing
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Probabilistic Self-Localization and Mapping - An Asynchronous Multirate Approach

2008

[EN] In this paper, we present a set of robust and efficient algorithms with O(N) cost for the solution of the Simultaneous Localization And Mapping (SLAM) problem of a mobile robot. First, we introduce a novel object detection method, which is mainly based on multiple line fitting method for landmark detection with regular constrained angles. Second, a line-based pose estimation method is proposed, based on LeastSquares (LS). This method performs the matching of lines, providing the global pose estimation under assumption of known Data-Association. Finally, we extend the FastSLAM (FActored Solution To SLAM) algorithm for mobile robot self-localisation and mapping by considering the asynchr…

Computer scienceLinear systemProbabilistic logicProbabilisticKalman filterLinear-quadratic regulatorFilter (signal processing)FastSLAMLinear-quadratic-Gaussian controlLeast squaresINGENIERIA DE SISTEMAS Y AUTOMATICAComputer Science ApplicationsMappingControl and Systems EngineeringControl theoryLocalizationElectrical and Electronic EngineeringPoseMultirate fusionIEEE Robotics & Automation Magazine
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The Implications of Fuzzy Logic in Qualitative Mathematical Modeling of Some Key Aspects Related to the Sustainability Issues around “Roşia Montană P…

2013

Abstract This paper aims to address in terms of fuzzy logic the qualitative mathematical modeling of some key aspects that implies ensuring of sustainability within “Rosia Montana mining Project”, both from the business itself perspective, as well as from the community and ecological ones. The proposed fuzzy methodology is also very useful and can be successfully applied for any company that evolves in uncertainty and ambiguity conditions and within which the decisional factor reasoning is subjective, due to itself abstract thinking of human being in this kind of situations, which often manifests itself through qualitative linguistic values. In this context, the development of a fuzzy metho…

Computer scienceManagement sciencemedia_common.quotation_subjectPerspective (graphical)General EngineeringEnergy Engineering and Power TechnologyContext (language use)Ambiguitymulticriteria decision.sustainabilityFuzzy logicFactor (programming language)SustainabilityKey (cryptography)fuzzy logiccomputerJava Programming Languagecomputer.programming_languagemedia_commonProcedia Economics and Finance
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Fully automatic multispectral MR image segmentation of prostate gland based on the fuzzy C-means clustering algorithm

2017

Prostate imaging is a very critical issue in the clinical practice, especially for diagnosis, therapy, and staging of prostate cancer. Magnetic Resonance Imaging (MRI) can provide both morphologic and complementary functional information of tumor region. Manual detection and segmentation of prostate gland and carcinoma on multispectral MRI data is not easily practicable in the clinical routine because of the long times required by experienced radiologists to analyze several types of imaging data. In this paper, a fully automatic image segmentation method, exploiting an unsupervised Fuzzy C-Means (FCM) clustering technique for multispectral T1-weighted and T2-weighted MRI data processing, is…

Computer scienceMultispectral imageFully automatic segmentation; Multispectral MR imaging; Prostate cancer; Prostate gland; Unsupervised fuzzy C-means clusteringFuzzy logic030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstatemedicineSegmentationComputer visionCluster analysismedicine.diagnostic_testbusiness.industryINF/01 - INFORMATICAMagnetic resonance imagingfully automatic segmentationImage segmentationmedicine.diseaseprostate cancermultispectral MR imagingunsupervised Fuzzy C-Means clusteringmedicine.anatomical_structureArtificial intelligencebusinessprostate gland030217 neurology & neurosurgery
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Holonic Fuzzy Agents for Integrated CAD Product and Adaptive Manufacturing Cell Formation

2020

International audience

Computer scienceProduct (mathematics)Adaptive manufacturing0202 electrical engineering electronic engineering information engineeringGeneral EngineeringCell formation020207 software engineeringCAD02 engineering and technologyFuzzy logicManufacturing engineeringComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences
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Fuzzy Logic based model for self-optimizing energy consumption in IoT environment

2021

Energy optimization is essential in IoT environments due to energy constraints for some IoT components. In fact, energy consumption has a direct impact on IoT system lifetime, which represents an important Quality of Service (QoS) parameter for IoT environments. In order to extend the IoT system lifetime, energy consumption optimization should be considered in several IoT components. In this paper, we specify an energy self-optimizing mechanism allowing to minimize data transmission energy consumption of IoT objects. This mechanism enables selecting specific objects to send the desired data while minimizing the energy consumed for the corresponding communication. Our proposal is made of a M…

Computer scienceQuality of serviceDistributed computingContext (language use)Energy consumptionObject (computer science)Energy minimizationFuzzy logicEnergy (signal processing)Data transmission2021 IEEE Wireless Communications and Networking Conference (WCNC)
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Minimizing uncertainties with improved power system stability using wide area fuzzy-2 logic based damping controller

2017

In this paper, a centralized Wide Area Damping Controller (WADC) is synthesized based on Interval Type-2 Fuzzy Logic controller. The disturbance is symbolized as distributed in the network with application of momentarily disturbance to the generator in area 1 for few cycles. The response of tie-line active power flow from area-1 to area-2, rotor speed change, rotor mechanical angle deviation, positive sequence voltage are examined by considering the test system with conventional PSS (CPSS), fuzzy type-1 based controller and fuzzy type-2 based controller. The proposed controller performance is analyzed and compared with fuzzy type-1 based controller and CPSS. The simulation results are used …

Computer scienceRotor (electric)020209 energyOpen-loop controller02 engineering and technologyInterval (mathematics)Fuzzy logiclaw.inventionGenerator (circuit theory)Electric power systemControl theorylaw0202 electrical engineering electronic engineering information engineeringVoltage2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)
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Fuzzy FMECA analysis of radioactive gas recovery system in the SPES experimental facility

2021

Abstract Selective Production of Exotic Species is an innovative plant for advanced nuclear physic studies. A radioactive beam, generated by using an UCx target-ion source system, is ionized, selected and accelerated for experimental objects. Very high vacuum conditions and appropriate safety systems to storage exhaust gases are required to avoid radiological risk for operators and people. In this paper, Failure Mode, Effects, and Criticality Analysis of a preliminary design of high activity gas recovery system is performed by using a modified Fuzzy Risk Priority Number to rank the most critical components in terms of failures and human errors. Comparisons between fuzzy approach and classic…

Computer scienceSPES FMECA Fuzzy Risk Priority Number evidence theory exhaust gas storage system020209 energySystem safety02 engineering and technologyFuzzy logicFuzzy risk priority numberPriority Number030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringSettore ING-IND/19 - Impianti NucleariRank (computer programming)TK9001-9401SPESExhaust gas storage systemReliability engineeringEvidence theoryFailure mode effects and criticality analysisNuclear Energy and EngineeringNuclear engineering. Atomic powerRisk assessmentFailure mode and effects analysisRadioactive gasFMECANuclear Engineering and Technology
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A Musical Pattern Discovery System Founded on a Modeling of Listening Strategies

2004

Music is a domain of expression that conveys a paramount degree of complexity. The musical surface, composed of a multitude of notes, results from the elaboration of numerous structures of different types and sizes. The composer constructs this structural complexity in a more or less explicit way. The listener, faced by such a complex phenomenon, is able to reconstruct only a limited part of it, mostly in a non-explicit way. One particular aim of music analysis is to objectify such complexity, thus offering to the listener a tool for enriching the appreciation of music (Lartillot and SaintJames, 2004). The trouble is, traditional musical analysis, although offering a valuable understanding …

Computer scienceSpeech recognitionMusical050105 experimental psychology060404 music[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Media Technology0501 psychology and cognitive sciencesSet (psychology)Musical formCognitive scienceStructure (mathematical logic)[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL][SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts05 social sciences06 humanities and the artsData structureComputer Science ApplicationsExpression (architecture)Music theory[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]NA0604 artsMusicMusical analysis
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Probabilistic characterization of flood hazard using bivariate analysis based on copulas

2014

This study presents an innovative approach to obtain flood hazard maps where hydrological input (synthetic flood design event) to a 2D hydraulic model has been defined by generating flood peak discharges and volumes from a bivariate statistical analysis, through the use of copulas. Synthetic hydrographs were generated by means two different approaches: an indirect one, where rainfall were generated by a stochastic bivariate rainfall generator to be entered a distributed conceptual rainfall-runoff model that consisted of a soil moisture routine and a flow routing routine; and a direct one, where stochastic generation of flood peaks and flow volumes have been obtained via copulas, which descr…

Computer scienceStatisticsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaProbabilistic logicEconometricsFlood hazard copulas bivariate analysisFlood hazardBivariate analysis
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