Search results for "TRIX"

showing 10 items of 3314 documents

Multi-dimensional pattern matching with dimensional wildcards

1995

We introduce a new multi-dimensional pattern matching problem, which is a natural generalization of the on-line search in string matching. We are given a text matrix A[1: n1, ..., 1:n d ] of size N= n1×n2×...×n d , which we may preprocess. Then, we are given, online, an r-dimensional pattern matrix B[1:m1,...,1:m r ] of size M= m1×m2×...×m r , with 1≤r≤d. We would like to know whether B*=B*[*, 1:m1,*, ...,1: mr, *] occurs in A, where * is a dimensional wildcard such that B* is any d-dimensional matrix having size 1 × ... × m1×...1×m r ×...1 and containing the same elements as B. Notice that there might be (d/r)≤2d occurrences of B* for each position of A. We give CRCW-PRAM algorithms for pr…

business.industryGeneralizationCommentz-Walter algorithmPattern recognitionWildcard characterString searching algorithmcomputer.file_formatApproximate string matchingBinary logarithmCombinatoricsMatrix (mathematics)Artificial intelligencePattern matchingbusinesscomputerMathematics
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High Order Textural Classification of Two SAR ERS Images on Mount Cameroon

2006

Abstract Many researchers have demonstrated that textural data increase the precision of a classification when they are combined with level of grey information. However, the calculation of textural parameters of order two is often too long in a computer. The problem is more complex when one must compute higher order textural parameters, which however can considerably improve the precision of a classification. This work is based on statistical methods of order two and three for the calculation of textural parameters [Akono et al., 2003]. In this work, we suggest a new method of calculation of textural parameters, which is more general, not limiting itself only on order two or three, but whic…

business.industryGeography Planning and DevelopmentPattern recognitionLimitingFunction (mathematics)Type (model theory)Matrix (mathematics)GeographySimple (abstract algebra)Computer visionArtificial intelligenceHigh orderbusinessWater Science and TechnologyGeocarto International
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128 Development of a job-exposure matrix (JEM) to describe pesticide exposure in Spanish workers (1996–2005)

2013

Objectives Pesticides are intensively used in Spain in a wide range of economic activities such as agriculture, farming, wood treatments or pest control, reaching in 2005 a consumption of more than 100,000 ton/year. Exposure to these substances has been proven to have negative effects on human health. However, there is little information available regarding the levels and frequency of exposure for workers, or the job titles associated with the worst exposure indicators. This study aimed to collect the available information on occupational pesticide exposure in Spain as a job-exposure matrix (JEM). Methods The work was carried out in the context of MatEmESp Project, which aims to build a Spa…

business.industryJob-exposure matrixPublic Health Environmental and Occupational HealthContext (language use)PesticideOccupational safety and healthGeographyEnvironmental protectionAgricultureEnvironmental healthChemical agentsOccupational exposureRisk assessmentbusinessOccupational and Environmental Medicine
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Accuracy of stereotactic coordinate transformation using a localisation frame and computed tomographic imaging

1999

The accuracy of coordinate transformation from a CT image to a stereotactic frame was investigated for stereotactic systems using a localisation frame and matrix-based coordinate transformation. The main source of error influencing calculation was input data, due to inaccurate calculation of the centres of the rods of the localisation frame in the CT image, and the propagation of this input error during subsequent matrix calculation. Systemic errors during matrix calculation do not exist, and rounding off errors were of subordinate importance compared to the input data error. The influence of input data error on coordinate transformation was studied by geometric methods, computer simulation…

business.industryPlane (geometry)Numerical analysisFrame (networking)Coordinate systemOblique caseGeometryGeneral MedicineDisplacement (vector)Matrix (mathematics)Transformation (function)MedicineSurgeryNeurology (clinical)businessNeurosurgical Review
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Non-negative matrix factorization Vs. FastICA on mismatch negativity of children

2009

In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by Fast independent component analysis (FastICA). Thus, in theory NMF could reach better separation of the responses. In the current experiment MMN was elicited by auditory duration deviations in 102 children. NMF was performed on the time-frequency representation of the raw data to estimate sources. Support to Absence Ratio (SAR) of the MMN co…

business.industrySpeech recognitionMismatch negativityPattern recognitionbehavioral disciplines and activitiesIndependent component analysisElectronic mailMatrix decompositionNon-negative matrix factorizationP3aTime–frequency representationFastICAArtificial intelligencebusinesspsychological phenomena and processesMathematics2009 International Joint Conference on Neural Networks
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Using Induced Ordered Weighted Averaging (IOWA) Operators for Aggregation in Cross-Efficiency Evaluations

2014

This paper proposes an enhancement of the cross-efficiency evaluation through the aggregation of cross-efficiencies by using a particular type of induced ordered weighted averaging IOWA operator. The use of a weighted average of cross-efficiencies for the calculation of the cross-efficiency scores, instead of the usual arithmetic mean, allows us to introduce some flexibility into the analysis. In particular, the main purpose of the approach we present is to provide aggregation weights that reflect the decision maker DM preferences regarding the relative importance that should be attached to the cross-efficiencies provided by the different decision-making units. To do it, an ordering is to b…

business.industryType (model theory)Theoretical Computer ScienceHuman-Computer InteractionVariable (computer science)Matrix (mathematics)Operator (computer programming)Artificial IntelligenceArtificial intelligencebusinessOrdered weighted averaging aggregation operatorWeighted arithmetic meanAlgorithmRowSoftwareMathematicsArithmetic meanInternational Journal of Intelligent Systems
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Polyurethane and Polyisocyanurate Foams in External Tank Cryogenic Insulation

2013

External tanks of the spacecrafts need not only efficient, but also safe cryogenic insulation materials and the issues of their development are still urgent. At present, polyurethane (PUR) or polyisocyanurate (PIR) foams’ cryogenic insulation is widely applied in the partially reusable launch systems. Factors influencing the cryogenic resistance of external thermal insulation performed of spray-on PUR or PIR foams are characterised based on a wide literature search. They include chemical structure and macromolecules’ architecture of polymeric matrix, physical and mechanical properties of foams, thermal stability and combustibility, cellular structure of foams etc. Experimental data on physi…

business.product_categoryMaterials scienceSpacecraftbusiness.industryPolymeric matrixPolyisocyanuratechemistry.chemical_compoundCombustibilitychemistryThermal insulationDrop tankThermal stabilityComposite materialbusinessPolyurethane
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Reinforcement Efficiency of Cellulose Microfibers for the Tensile Stiffness and Strength of Rigid Low-Density Polyurethane Foams

2020

Rigid low-density closed-cell polyurethane (PU) foams are widely used in both thermal insulation and structural applications. The sustainability of PU foam production can be increased by using bio-based components and fillers that ensure both enhanced mechanical properties and higher renewable material content. Such bio-based foams were produced using polyols derived from rapeseed oil and microcrystalline cellulose (MCC) fibers as filler. The effect of MCC fiber loading of up to 10 wt % on the morphology, tensile stiffness, and strength of foams has been evaluated. For estimation of the mechanical reinforcement efficiency of foams, a model allowing for the partial alignment of filler fibers…

business.product_categoryMaterials scienceYoung's modulus02 engineering and technology010402 general chemistry01 natural scienceslcsh:TechnologyArticlesymbols.namesakechemistry.chemical_compoundmicrocrystalline cellulose fibersThermal insulationMicrofiberUltimate tensile strengthpolymer matrix compositesGeneral Materials ScienceFiberYoung’s modulusCelluloseComposite materiallcsh:MicroscopyPolyurethanelcsh:QC120-168.85lcsh:QH201-278.5business.industrylcsh:T021001 nanoscience & nanotechnologyrigid polyurethane foams0104 chemical sciencesMicrocrystalline cellulosechemistrytensile strengthlcsh:TA1-2040symbolslcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineering0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Analysis of Contact Traces of Cannabis by In-Tube Solid-Phase Microextraction Coupled to Nanoliquid Chromatography

2018

Because of its inherent qualities, in-tube solid-phase microextraction (IT-SPME) coupled on-line to nanoliquid chromatography (nanoLC) can be a very powerful tool to address the new challenges of analytical laboratories such as the analysis of traces of complex samples. This is the case of the detection of contact traces of drugs, especially cannabis. The main difficulties encountered in the analysis of traces of cannabis plants on surfaces are the low amount of sample available (typically &lt

cannabisTHCmedicine.medical_treatmentSample (material)nanoliquid chromatography (nanoLC)CannabinolPharmaceutical Sciencecontact trace analysisSolid-phase microextraction01 natural sciencesArticleGas Chromatography-Mass SpectrometryAnalytical Chemistrylcsh:QD241-441Matrix (chemical analysis)03 medical and health scienceschemistry.chemical_compound0302 clinical medicinelcsh:Organic chemistryDrug DiscoverymedicineCannabidiolNanotechnology030216 legal & forensic medicineDronabinolPhysical and Theoretical ChemistrySolid Phase MicroextractionChromatographybiologyChemistryCannabinoidsPlant Extracts010401 analytical chemistryOrganic ChemistryExtraction (chemistry)biology.organism_classification0104 chemical sciencesChemistry (miscellaneous)CannabinolMolecular MedicineCannabinoidCannabisCannabidiolmedicine.drugin-tube solid-phase microextraction (IT-SPME)Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry
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Density Functional Theory Investigation on the Nucleation and Growth of Small Palladium Clusters on a Hyper-Cross-Linked Polystyrene Matrix

2014

Density functional theory calculations were employed to investigate the nucleation and growth of small palladium clusters, up to Pd9, into a microcavity of the porous hyper-cross-linked polystyrene (HPS). The geometries and the electronic structures of the palladium clusters inside the HPS cavity, following the one-by-one atom addition, are affected by a counterbalance between the Pd–phenyl (Pd−Φ) and Pd–Pd interactions. The analysis performed on energetics, cavity distortions, and cluster geometries indeed suggest that the cluster growth is dominated by the Pd−Φ interactions up to the formation of Pd4 aggregates, whereas the metal–metal interactions actually rule the growth of the larger c…

catalysispolymeric supportNucleationchemistry.chemical_elementSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsMatrix (mathematics)chemistry.chemical_compoundGeneral EnergychemistryChemical physicsComputational chemistryAtomCluster (physics)Density functional theoryPolystyrenePhysical and Theoretical ChemistryElasticity (economics)Metal nanoparticlemetal-phenyl interactionPalladiumThe Journal of Physical Chemistry C
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